[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"_public_publisher_byId_15d4106f-7c77-42e2-8437-c03f52d26bdd":3,"_public_publication_all{\"sortAscending\":false,\"sortField\":\"updateTime\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"publisherId:15d4106f-7c77-42e2-8437-c03f52d26bdd,\"}":109},{"code":4,"data":5,"meta":18},"SUCCESS",{"id":6,"createTime":7,"updateTime":8,"relativeEntities":9,"slug":10,"properties":11,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":20,"manageAffiliations":53,"indexDatabases":65,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},"15d4106f-7c77-42e2-8437-c03f52d26bdd","2023-12-05T06:08:12.897+00:00","2025-11-21T10:02:19.706+00:00",[],"Robotics-and-Autonomous-Systems",{"issn":12,"title":14},{"VOID":13},"09218890",{"EN":15},"Robotics and Autonomous Systems","PUBLISHER","PENDING",null,0,[21,29,37,45],{"id":22,"createTime":23,"updateTime":24,"relativeEntities":25,"label":26,"description":28,"parentId":18,"standard":18,"scholarHubFieldId":18},"176b8a18-7a5f-4df2-9daa-2b872083c6de","2023-05-29T10:24:06.944+00:00","2023-11-21T03:45:47.979+00:00",[],{"EN":27},"Control and Systems Engineering",{},{"id":30,"createTime":31,"updateTime":32,"relativeEntities":33,"label":34,"description":36,"parentId":18,"standard":18,"scholarHubFieldId":18},"37634bef-3565-4ad6-b1ba-c43cf4d196be","2023-05-29T10:24:10.937+00:00","2023-11-21T07:37:14.631+00:00",[],{"EN":35},"Mathematics (miscellaneous)",{},{"id":38,"createTime":39,"updateTime":40,"relativeEntities":41,"label":42,"description":44,"parentId":18,"standard":18,"scholarHubFieldId":18},"aae089e7-8b62-4df4-ab86-aada3693b3f8","2023-05-29T10:24:07.736+00:00","2023-11-21T07:29:12.850+00:00",[],{"EN":43},"Software",{},{"id":46,"createTime":47,"updateTime":48,"relativeEntities":49,"label":50,"description":52,"parentId":18,"standard":18,"scholarHubFieldId":18},"bb1bad44-29ec-44f6-a988-069cb69215fd","2023-05-29T10:24:07.710+00:00","2023-11-21T08:09:16.461+00:00",[],{"EN":51},"Computer Science Applications",{},[54],{"id":55,"createTime":56,"updateTime":57,"relativeEntities":58,"slug":59,"properties":60,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":63,"url":18,"parentIds":64,"statistic":18},"c749757b-dddf-4e6f-9697-b9c441adc06c","2023-05-29T10:24:07.401+00:00","2025-11-21T10:06:14.206+00:00",[],"Elsevier",{"title":61},{"EN":59},"AFFILIATION",11,[],[66,87],{"id":67,"indexDatabase":68,"url":82,"indexYears":18,"academicFieldIds":83,"indexDatabaseRanking":18},"829e9b5f-ba01-4be4-a39d-c1b439ab0578",{"id":69,"createTime":70,"updateTime":71,"relativeEntities":72,"label":73,"description":75,"key":78,"publicationTags":79,"standard":18},"a4921856-b128-4d9f-8f1f-e80813d3bbd4","2023-05-22T09:59:31.026+00:00","2025-11-21T10:07:52.153+00:00",[],{"EN":74,"VI":74},"ISI\u002FSCIE - Science Citation Index Expanded",{"VI":76,"EN":77},"Cơ sở dữ liệu SCIE","SCIE database","scie",[80,81],"SCIE","ISI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=0921-8890",[84,85,86],"1acb72da-cafe-4349-b117-01c5aabcd399","e74ee2cf-73af-4a18-b9f2-e019f875caa2","668abc1c-b8ae-41dc-a323-431b43712ada",{"id":88,"indexDatabase":89,"url":101,"indexYears":102,"academicFieldIds":103,"indexDatabaseRanking":108},"813b1888-2ecf-49fb-9125-35da1152dc5d",{"id":90,"createTime":91,"updateTime":92,"relativeEntities":93,"label":94,"description":96,"key":98,"publicationTags":99,"standard":18},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9","2023-05-22T09:57:18.509+00:00","2025-11-21T10:07:52.274+00:00",[],{"EN":95,"VI":95},"Scopus - Elsevier",{"EN":95,"VI":97},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[100],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F18079","1988-2025",[104,105,106,107],"212b8bab-be53-49b1-9ceb-c528868800fc","f8ab36fc-bc72-48f2-a425-9f3e042f2272","825d41e1-f1f9-472e-aa11-78b85d501870","cd7e8237-7356-41bf-8ef9-9ae6051e5be0","SCOPUS__Q1",{"meta":110,"data":112},{"total":111},"1739",[113,194,292,362,487,598,762,893,965,1034],{"id":114,"createTime":115,"updateTime":116,"relativeEntities":117,"slug":118,"properties":119,"entityType":126,"verifyStatus":127,"verifyTime":116,"verifyNote":128,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":129,"fullTextUrl":18,"authors":130,"publicationType":162,"publisherRelationship":163,"citationCount":18,"citationInfo":18,"publishDate":191,"publishYear":192,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"f8330e4b-334d-4c91-a804-318677952be5","2024-01-13T22:53:33.235+00:00","2025-02-04T23:57:30.999+00:00",[],"Synthesis-of-indoor-maps-in-presence-of-uncertainty",{"references":120,"title":122,"doi":124},{"VOID":121},"Basye, 1992, Graph-based mapping by mobile robots, 643\nBasye, 1990, Map learning with indistinguishable locations, Vol. 5, 331\nBorenstein, 1991, Histogramic in-motion mapping for mobile robot obstacle avoidance, IEEE Transactions on Robotics and Automation, 7, 535, 10.1109\u002F70.86083\nBrooks, 1982, Solving the find-path problem by good representation of free space, 381\nCanny, 1988, Simplified voronoi diagrams, Comput. Geometry, 3, 219, 10.1007\u002FBF02187909\nCattoni, 1993, Planning and reactivity for the mobile robot of MAIA\nCattoni, 1994, Bridging the gap between planning and reactivity: a layered architecture for autonomous indoor navigation, 878\nChatila, 1985, Position referencing and consistent world modeling for mobile robots, 138\nCrowley, 1985, Navigation for an intelligent mobile robot, IEEE J. Robotics and Automation, 1, 31, 10.1109\u002FJRA.1985.1087002\nCrowley, 1987, Mathematical tools for representing uncertainty in perception, 293\nDean, 1992, Inferring finite automata with stochastic output functions and application to map learning\nDean, 1993, Uncertainty in graph-based map learning\nDudek, 1982, Using uncertain sensing data to create reliable maps: an algorithm for exploring\u002Fmapping unknown graph-like worlds, 650\nDudek, 1991, Robotic exploration as graph construction, IEEE Trans. on Robotics and Automation, 7, 859, 10.1109\u002F70.105395\nDurieu, 1982, A data fusion application for location of a mobile robot using an odometer and a panoramic laser telemeter, 519\nElfes, 1987, Sonar-based real-world mapping and navigation, IEEE Journal of Robotics and Automation, 3, 249, 10.1109\u002FJRA.1987.1087096\n1974\nKuipers, 1978, Modeling spatial knowledge, Cognitive Science, 2, 129, 10.1207\u002Fs15516709cog0202_3\nKuipers, 1991, A Robot exploration and mapping strategy based on a semantic hierarchy of spatial representations, Robotics and Autonomous Systems, 8, 47, 10.1016\u002F0921-8890(91)90014-C\nLeonard, 1991, Mobile robot localization by tracking geometric beacons, IEEE Trans. on Robotics and Automation, 7, 376, 10.1109\u002F70.88147\nLeonard, 1992\nMataric, 1990, A distributed model for mobile robot environment-learning and navigation\nMiller, 1985, A spatial representation system for mobile robots, 122\nMoravec, 1985, High resolution maps from wide angle sonar, 116\nPoggio, 1992, A project for an intelligent system: vision and learning, Int. J. Quantum Chemistry, 42, 727, 10.1002\u002Fqua.560420413\nSmith, 1988, Estimating uncertain spatial relationships in robotics, Vol. 2, 435\nWang, 1990, Location estimation and uncertainty analysis for mobile robot",{"EN":123},"Synthesis of indoor maps in presence of uncertainty",{"VOID":125},"10.1016\u002Fs0921-8890(97)00034-1","PUBLICATION","VERIFIED","Auto Verify","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0921889097000341",[131,149],{"id":132,"sortIndex":19,"researcher":18,"roles":133,"affiliations":135,"properties":146},"f8b19946-2837-4412-bfce-0cf131ccb073",[134],"AUTHOR",[136],{"id":18,"sortIndex":19,"affiliation":137,"properties":18},{"id":138,"createTime":139,"updateTime":140,"relativeEntities":141,"slug":142,"properties":143,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"06fe0e08-8468-4f73-8839-9fc43a6a16b3","2024-01-13T22:53:33.253+00:00","2025-06-11T20:02:44.462+00:00",[],"Istituto-per-la-Ricerca-Scientifica-e-Tecnologica-Via-Sommarive-18-I-38050-Povo-Trento-Italy",{"title":144},{"VI":145},"Istituto per la Ricerca Scientifica e Tecnologica, Via Sommarive 18, I-38050 Povo, Trento, Italy",{"title":147},{"VI":148},"Andrea Fusiello",{"id":150,"sortIndex":151,"researcher":18,"roles":152,"affiliations":153,"properties":159},"a8100299-77bd-4fc9-bcdc-e9044b64de97",1,[134],[154],{"id":18,"sortIndex":19,"affiliation":155,"properties":18},{"id":138,"createTime":139,"updateTime":140,"relativeEntities":156,"slug":142,"properties":157,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":158},{"VI":145},{"title":160},{"VI":161},"Bruno Caprile","ARTICLE",{"url":129,"publisher":164,"properties":186},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":165,"slug":10,"properties":166,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":169,"manageAffiliations":170,"indexDatabases":171,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":167,"title":168},{"VOID":13},{"EN":15},[],[],[172,179],{"id":88,"indexDatabase":173,"url":101,"indexYears":102,"academicFieldIds":178,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":174,"label":175,"description":176,"key":98,"publicationTags":177,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":180,"url":82,"indexYears":18,"academicFieldIds":185,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":181,"label":182,"description":183,"key":78,"publicationTags":184,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":187,"pages":189},{"VOID":188},"22",{"VOID":190},"103-114","1997-11-01",1997,false,{"id":195,"createTime":196,"updateTime":197,"relativeEntities":198,"slug":199,"properties":200,"entityType":126,"verifyStatus":127,"verifyTime":197,"verifyNote":128,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":207,"fullTextUrl":18,"authors":208,"publicationType":162,"publisherRelationship":262,"citationCount":18,"citationInfo":18,"publishDate":290,"publishYear":291,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"9c2643b6-818f-48a0-8f74-a10eb945ca21","2024-01-25T13:01:19.032+00:00","2024-12-25T23:56:50.799+00:00",[],"Real-time-head-pose-estimation-using-multi-task-deep-neural-network",{"references":201,"title":203,"doi":205},{"VOID":202},"Hug, 2004, Estimating face pose by facial asymmetry and geometry, 651\nCootes, 1995, Active shape models-their training and application, Comput. Vis. Image Underst., 61, 38, 10.1006\u002Fcviu.1995.1004\nCootes, 2001, Active appearance models, IEEE Trans. Pattern Anal. Mach. Intell., 23, 681, 10.1109\u002F34.927467\nMartins, 2008, Accurate single view model-based head pose estimation, 1\nXiong, 2013, Supervised descent method and its applications to face alignment, 532\nF.D. la Torre, W.S. Chu, X. Xiong, F. Vicente, X. Ding, J. Cohn, Intraface, in: IEEE International Conference on Automatic Face and Gesture Recognition, FG, Vol. 1, 2015, pp. 1–8.\nDopfer, 2014, 3d active appearance model alignment using intensity and range data, Robot. Auton. Syst., 62, 168, 10.1016\u002Fj.robot.2013.11.002\nTawari, 2014, Continuous head movement estimator for driver assistance: issues, algorithms, and on-road evaluations, IEEE Trans. Intell. Transp. Syst., 15, 818, 10.1109\u002FTITS.2014.2300870\nNarayanan, 2014, Yaw estimation using cylindrical and ellipsoidal face models, IEEE Trans. Intell. Transp. Syst., 15, 2308, 10.1109\u002FTITS.2014.2313371\nNarayanan, 2016, Estimation of driver head yaw angle using a generic geometric model, IEEE Trans. Intell. Transp. Syst., 17, 3446, 10.1109\u002FTITS.2016.2551298\nZhu, 2012, Face detection, pose estimation and landmark localization in the wild, 2879\nVicente, 2015, Driver gaze tracking and eyes off the road detection system, IEEE Trans. Intell. Transp. Syst., 16, 2014, 10.1109\u002FTITS.2015.2396031\nBalasubramanian, 2007, Biased manifold embedding: a framework for person-independent head pose estimation\nFoytik, 2013, A two-layer framework for piecewise linear manifold-based head pose estimation, Int. J. Comput. Vis., 101, 270, 10.1007\u002Fs11263-012-0567-y\nGrujić, 2008, 3D facial pose estimation by image retrieval\nGourier, 2004, Estimating face orientation from robust detection of salient facial features\nHuang, 2010, Head pose estimation based on random forests for multiclass classification, 934\nBenAbdelkader, 2010, Robust head pose estimation using supervised manifold learning, 518\nJi, 2011, Robust head pose estimation via convex regularized sparse regression, 3617\nBreitenstein, 2008, Real-time face pose estimation from single range images\nFanelli, 2011, Real time head pose estimation from consumer depth cameras, 101\nFanelli, 2013, Random forests for real time 3D face analysis, Int. J. Comput. Vis., 101, 437, 10.1007\u002Fs11263-012-0549-0\nLecun, 1989, Backpropagation applied to handwritten zip code recognition, Neural Comput., 1, 541, 10.1162\u002Fneco.1989.1.4.541\nKrizhevsky, 2012, Imagenet classification with deep convolutional neural networks, Adv. Neural Inf. Process. Syst.\nC. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, Going deeper with convolutions, in: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2015.\nK. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2016, pp. 770–778.\nSun, 2013, Deep convolutional network cascade for facial point detection, 3476\nH. Li, Z. Lin, X. Shen, J. Brandt, G. Hua, A convolutional neural network cascade for face detection, in: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2015, pp. 5325–5334.\nZhang, 2016, Learning deep representation for face alignment with auxiliary attributes, IEEE Trans. Pattern Anal. Mach. Intell., 38, 918, 10.1109\u002FTPAMI.2015.2469286\nB. Ahn, J. Park, I.S. Kweon, Real-time head orientation from a monocular camera using deep neural network, in: Asian Conference on Computer Vision, ACCV, 2014, pp. 82–96.\nCaruana, 1997, Multitask learning, Mach. Learn., 41, 10.1023\u002FA:1007379606734\nA. Vezhnevets, J.M. Buhmann, Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning, in: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2010, pp. 3249–3256.\nRomera-paredes, 2012, Exploiting unrelated tasks in multi-task learning, Adv. Neural Inf. Process. Syst.\nM. Lapin, B. Schiele, M. Hein, Scalable multitask representation learning for scene classification, in: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2014, pp. 1434–1441.\nToshev, 2014, Deeppose: human pose estimation via deep neural networks\nLi, 2015, Heterogeneous multi-task learning for human pose estimation with deep convolutional neural network, Int. J. Comput. Vis., 113, 19, 10.1007\u002Fs11263-014-0767-8\nH. Jung, S. Lee, J. Yim, S. Park, J. Kim, Joint fine-tuning in deep neural networks for facial expression recognition, in: IEEE International Conference on Computer Vision Workshops, ICCVW, 2015, pp. 2983–2991.\nNair, 2010, Rectified linear units improve restricted boltzmann machines, 807\nR. Girshick, J. Donahue, T. Darrell, J. Malik, Rich feature hierarchies for accurate object detection and semantic segmentation, in: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2014, pp. 580–587.\nM. Koestinger, P. Wohlhart, P.M. Roth, H. Bischof, Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization, in: IEEE International Workshop on Benchmarking Facial Image Analysis Technologies, 2011.\nT. Weise, S. Bouaziz, H. Li, M. Pauly, Realtime performance-based facial animation, 30 (4) (2011).\nHuang, 2007\nBelhumeur, 2013, Localizing parts of faces using a consensus of exemplars, IEEE Trans. Pattern Anal. Mach. Intell., 35, 2930, 10.1109\u002FTPAMI.2013.23\nV. Le, J. Brandt, Z. Lin, L. Bourdev, T.S. Huang, Interactive facial feature localization, in: European Conference on Computer Vision, ECCV, 2012, pp. 679–692.\nX.P. Burgos-Artizzu, P. Perona, P. Dollár, Robust face landmark estimation under occlusion, in: IEEE International Conference on Computer Vision Workshops, ICCVW, 2013, pp. 1513–1520.\nP. Lucey, J.F. Cohn, T. Kanade, J. Saragih, Z. Ambadar, I. Matthews, The extended Cohn-Kanade dataset (CK+): A complete dataset for action unit and emotion-specified expression, in: IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW, 2010, pp. 94–101.\nViola, 2001, Robust real-time object detection, Int. J. Comput. Vis.\nJ. Paone, D. Bolme, R. Ferrell, D. Aykac, T. Karnowski, Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study, in: IEEE Intelligent Vehicles Symposium (IV), 2015, pp. 174–179.\nS. Yang, P. Luo, C.C. Loy, X. Tang, Wider face: A face detection benchmark, in: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2016.\nZ. Liu, P. Luo, X. Wang, X. Tang, Deep learning face attributes in the wild, in: Proceedings of International Conference on Computer Vision, ICCV, 2015.\nV. Drouard, S. Ba, G. Evangelidis, A. Deleforge, R. Horaud, Head pose estimation via probabilistic high-dimensional regression, in: IEEE International Conference on Image Processing, ICIP, 2015, pp. 4624–4628.\nNuevo, 2010, RSMAT: Robust simultaneous modeling and tracking, Pattern Recognit. Lett., 31, 2455, 10.1016\u002Fj.patrec.2010.07.016",{"EN":204},"Real-time head pose estimation using multi-task deep neural network",{"VOID":206},"10.1016\u002Fj.robot.2018.01.005","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0921889017303524",[209,225,238,250],{"id":210,"sortIndex":211,"researcher":18,"roles":212,"affiliations":213,"properties":222},"ffbbd9a9-b983-46f1-b2ec-d373eb554024",3,[134],[214],{"id":18,"sortIndex":19,"affiliation":215,"properties":18},{"id":216,"createTime":217,"updateTime":217,"relativeEntities":218,"slug":18,"properties":219,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"63c413a3-8d4f-40e2-b2e9-73fcd4a95d0b","2024-01-25T13:01:19.110+00:00",[],{"title":220},{"VI":221},"Robotics and Computer Vision Lab, KAIST, Daejeon, Republic of Korea",{"title":223},{"VI":224},"In So Kweon",{"id":226,"sortIndex":227,"researcher":18,"roles":228,"affiliations":229,"properties":235},"f2dfa3e9-c5f9-459a-badf-9ec9d2b9e2bd",2,[134],[230],{"id":18,"sortIndex":19,"affiliation":231,"properties":18},{"id":216,"createTime":217,"updateTime":217,"relativeEntities":232,"slug":18,"properties":233,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":234},{"VI":221},{"title":236},{"VI":237},"Jaesik Park",{"id":239,"sortIndex":151,"researcher":18,"roles":240,"affiliations":241,"properties":247},"efa2ea38-7009-49d4-a7db-8af8778d617b",[134],[242],{"id":18,"sortIndex":19,"affiliation":243,"properties":18},{"id":216,"createTime":217,"updateTime":217,"relativeEntities":244,"slug":18,"properties":245,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":246},{"VI":221},{"title":248},{"VI":249},"Dong-Geol Choi",{"id":251,"sortIndex":19,"researcher":18,"roles":252,"affiliations":253,"properties":259},"2f74d3c9-0209-4e1c-8e21-7362a393b146",[134],[254],{"id":18,"sortIndex":19,"affiliation":255,"properties":18},{"id":216,"createTime":217,"updateTime":217,"relativeEntities":256,"slug":18,"properties":257,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":258},{"VI":221},{"title":260},{"VI":261},"Byungtae Ahn",{"url":207,"publisher":263,"properties":285},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":264,"slug":10,"properties":265,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":268,"manageAffiliations":269,"indexDatabases":270,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":266,"title":267},{"VOID":13},{"EN":15},[],[],[271,278],{"id":88,"indexDatabase":272,"url":101,"indexYears":102,"academicFieldIds":277,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":273,"label":274,"description":275,"key":98,"publicationTags":276,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":279,"url":82,"indexYears":18,"academicFieldIds":284,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":280,"label":281,"description":282,"key":78,"publicationTags":283,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":286,"pages":288},{"VOID":287},"103",{"VOID":289},"1-12","2018-05-01",2018,{"id":293,"createTime":294,"updateTime":294,"relativeEntities":295,"slug":18,"properties":296,"entityType":126,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":303,"fullTextUrl":18,"authors":304,"publicationType":162,"publisherRelationship":332,"citationCount":18,"citationInfo":18,"publishDate":360,"publishYear":361,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"840f6bf5-767c-4686-bb56-b976d24fa032","2024-02-06T23:55:41.114+00:00",[],{"references":297,"title":299,"doi":301},{"VOID":298},"Fong, 2001, Vehicle teleoperation interfaces, Auton. Robots, 11, 9, 10.1023\u002FA:1011295826834\nVertut, 2013\nKamegawa, 2004, Development of the snake-like rescue robot kohga, 5081\nNagatani, 2013, Emergency response to the nuclear accident at the Fukushima daiichi nuclear power plants using mobile rescue robots, J. Field Robotics, 30, 44, 10.1002\u002Frob.21439\nSrinivasavaradhan, 2009, 7 th sense. A multipurpose robot for military, 158\nMair, 1997, Telepresence-the technology and its economic and social implications, 118\nKowadlo, 2008, Robot odor localization: A taxonomy and survey, Int. J. Robot. Res., 27, 869, 10.1177\u002F0278364908095118\nShraiman, 2000, Scalar turbulence, Nature, 405, 639, 10.1038\u002F35015000\nFerri, 2009, SPIRAL: A novel biologically-inspired algorithm for gas\u002Fodor source localization in an indoor environment with no strong airflow, Robot. Auton. Syst., 57, 393, 10.1016\u002Fj.robot.2008.07.004\nVuka, 2017, Exploration and localization of a gas source with mox gas sensors on a mobile robot—A Gaussian regression bout amplitude approach, 1\nWada, 2016, Estimation of gas source location from fluctuating readings of gas sensors and anemometer on mobile robot in outdoor environment, ECS Trans., 75, 99, 10.1149\u002F07516.0099ecst\nRahbar, 2017, A 3-D bio-inspired odor source localization and its validation in realistic environmental conditions, 3983\nJ. Monroy, F. Melendez-Fernandez, A. Gongora, J. Gonzalez-Jimenez, Integrating olfaction in a robotic telepresence loop, in: Int. Symposium on Robot and Human Interactive Communication, 2017.\nLewis, 2004, Comparisons between mammalian and artificial olfaction based on arrays of carbon black- polymer composite vapor detectors, Acc. Chem. Res., 37, 663, 10.1021\u002Far030120m\nA. Gongora, D. Chaves, A. Jaenal, J. Monroy, J. Gonzalez-Jimenez, Toward the generation of smell maps: Matching electro-chemical sensor information with human odor perception, in: Int. Conference on Applications of Intelligent Systems, APPIS, 2018.\nCui, 2015, Qualitative and quantitative analysis on aroma characteristics of ginseng at different ages using e-nose and gc–ms combined with chemometrics, J. Pharm. Biomed. Anal., 102, 64, 10.1016\u002Fj.jpba.2014.08.030\nBennetts, 2013, Towards real-world gas distribution mapping and leak localization using a mobile robot with 3D and remote gas sensing capabilities, 2335\nLiu, 2012, A survey on gas sensing technology, Sensors, 12, 9635, 10.3390\u002Fs120709635\nRöck, 2008, Electronic nose: Current status and future trends, Chem. Rev., 108, 705, 10.1021\u002Fcr068121q\nLilienthal, 2005\nReggente, 2009, Using local wind information for gas distribution mapping in outdoor environments with a mobile robot, 1715\nLoutfi, 2009, Gas distribution mapping of multiple odour sources using a mobile robot, Robotica, 27, 311, 10.1017\u002FS0263574708004694\nYamada, 2006, Wearable olfactory display: Using odor in outdoor environment, 199\nNakaizumi, 2006, Spotscents: A novel method of natural scent delivery using multiple scent projectors, 207\nMatsukura, 2013, Smelling screen: Development and evaluation of an olfactory display system for presenting a virtual odor source, IEEE Trans. Vis. Comput. Graphics, 19, 606, 10.1109\u002FTVCG.2013.40\nWarnock, 2011, The role of modality in notification performance, 572\nNakamoto, 2007, Improvement of olfactory display using solenoid valves, 179\nMair, 2007, Towards transparent telepresence, 300\nA. Gongora, J. Monroy, J. Gonzalez-Jimenez, Gas source localization strategies for teleoperated mobile robots. An experimental analysis, in: 2017 European Conference on Mobile Robots, 2017, http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FECMR.2017.8098720.\nMonroy, 2016, Time-variant gas distribution mapping with obstacle information, Auton. Robots, 40, 1, 10.1007\u002Fs10514-015-9437-0\nA. Gongora, J. Monroy, J. Gonzalez-Jimenez, A robotic experiment toward understanding human gas-source localization strategies, in: Int. Symposium on Olfaction and Electronic Nose, ISOEN, 2017.\nA. Gongora, J. Monroy, J. Gonzalez-Jimenez, An electronic architecture for multi-purpose artificial noses, J. Sens., http:\u002F\u002Fdx.doi.org\u002F10.1155\u002F2018\u002F5427693.\nHainer, 1954, An information theory of olfaction, Ann. New York Acad. Sci., 58, 158, 10.1111\u002Fj.1749-6632.1954.tb54851.x\nPearce, 2006\nMonroy, 2012, Overcoming the slow recovery of MOX gas sensors through a system modeling approach, Sensors, 12, 13664, 10.3390\u002Fs121013664\nF. Melendez-Fernandez, C. Galindo, J. Gonzalez-Jimenez, A web-based solution for robotic telepresence, Int. J. Adv. Rob. Syst. 14 (6).\nLilienthal, 2004, Gas source declaration with a mobile robot, 1430\nMarques, 2002, Olfaction-based mobile robot navigation, Thin Solid Films, 418, 51, 10.1016\u002FS0040-6090(02)00593-X\nHayes, 2002, Distributed odor source localization, IEEE Sens. J., 2, 260, 10.1109\u002FJSEN.2002.800682\nThompson, 2011, Intuition, reason, and metacognition, Cogn. Psychol., 63, 107, 10.1016\u002Fj.cogpsych.2011.06.001\nD.S. Bassett, N.F. Wymbs, M.A. Porter, P.J. Mucha, J.M. Carlson, S.T. Grafton, Dynamic reconfiguration of human brain networks during learning, in: Proceedings of the National Academy of Sciences.\nMiall, 2006, Adaptation to visual feedback delays in manual tracking: Evidence against the Smith predictor model of human visually guided action, Exp. Brain Res., 172, 77, 10.1007\u002Fs00221-005-0306-5\nOaksford, 2007\nVergassola, 2007, ‘infotaxis’ as a strategy for searching without gradients, Nature, 445, 406, 10.1038\u002Fnature05464\nRuiz-Sarmiento, 2017, Building multiversal semantic maps for mobile robot operation, Knowl.-Based Syst., 119, 257, 10.1016\u002Fj.knosys.2016.12.016\nC. Sanchez-Garrido, J. Monroy, J. Gonzalez-Jimenez, Probabilistic estimation of the gas source location in indoor environments by combining gas and wind observations, in: Int. Conference on Applications of Intelligent Systems, APPIS, 2018.\nW. IJsselsteijn, Telepresence: Transforming transparency, in: Dutch Electronic Arts Festival, DEAF ’04, The Art of Immersive Spaces, 2004, pp. 29–31.",{"EN":300},"Olfactory telerobotics. A feasible solution for teleoperated localization of gas sources?",{"VOID":302},"10.1016\u002Fj.robot.2018.12.008","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0921889018306523",[305,320],{"id":306,"sortIndex":151,"researcher":18,"roles":307,"affiliations":308,"properties":317},"069ab500-5324-4dba-816e-5f04f62c7554",[134],[309],{"id":18,"sortIndex":19,"affiliation":310,"properties":18},{"id":311,"createTime":312,"updateTime":312,"relativeEntities":313,"slug":18,"properties":314,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"1005c1d4-95f3-4acb-893b-91e6a2913e88","2024-02-06T23:55:41.133+00:00",[],{"title":315},{"VI":316},"University of Malaga, Boulevard Louis Pasteur 35, Lab. 2.3.6, Malaga 29071, Spain",{"title":318},{"VI":319},"Javier Gonzalez-Jimenez",{"id":321,"sortIndex":19,"researcher":18,"roles":322,"affiliations":323,"properties":329},"482c1dba-c4dc-4aad-8a78-0aab0a5e5294",[134],[324],{"id":18,"sortIndex":19,"affiliation":325,"properties":18},{"id":311,"createTime":312,"updateTime":312,"relativeEntities":326,"slug":18,"properties":327,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":328},{"VI":316},{"title":330},{"VI":331},"Andres Gongora",{"url":303,"publisher":333,"properties":355},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":334,"slug":10,"properties":335,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":338,"manageAffiliations":339,"indexDatabases":340,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":336,"title":337},{"VOID":13},{"EN":15},[],[],[341,348],{"id":88,"indexDatabase":342,"url":101,"indexYears":102,"academicFieldIds":347,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":343,"label":344,"description":345,"key":98,"publicationTags":346,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":349,"url":82,"indexYears":18,"academicFieldIds":354,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":350,"label":351,"description":352,"key":78,"publicationTags":353,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":356,"pages":358},{"VOID":357},"113",{"VOID":359},"1-9","2019-03-01",2019,{"id":363,"createTime":364,"updateTime":365,"relativeEntities":366,"slug":367,"properties":368,"entityType":126,"verifyStatus":127,"verifyTime":365,"verifyNote":128,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":375,"fullTextUrl":18,"authors":376,"publicationType":162,"publisherRelationship":457,"citationCount":18,"citationInfo":18,"publishDate":485,"publishYear":486,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"e0ad730e-f91c-4b47-a9c3-00a142c5d711","2024-02-07T18:07:47.771+00:00","2025-02-07T23:51:55.834+00:00",[],"Navigation-using-range-images-on-a-mobile-robot",{"references":369,"title":371,"doi":373},{"VOID":370},"Lozano-Perez, 1979, An algorithm for planning collision-free paths among polyhedral obstacles, Communications of Association for Computing Machinery, 22, 560, 10.1145\u002F359156.359164\nBrooks, 1985, A subdivision algorithm in configuration space for findpath with rotation, IEEE Transactions on Systems, Man and Cybernetics, SMC-15, 224, 10.1109\u002FTSMC.1985.6313352\nLozano-Perez, 1981, Automatic planning of manipulator transfer movements, IEEE Transactions on Systems, Man and Cybernetics, SMC-11, 681, 10.1109\u002FTSMC.1981.4308589\nTakahashi, 1989, Motion planning in a plane using generalized Voronoi diagrams, IEEE Transactions on Robotic and Automation, 5, 143, 10.1109\u002F70.88035\nZhu, 1989, New heuristic algorithms for efficient hierarchical path planning\nBarraquand, 1989, Robot motion planning: A distributed representation approach, 10.21236\u002FADA209890\nBarraquand, 1989, Numerical potential field techniques for robot path planning, 10.21236\u002FADA326999\nArkin, 1990, Autonomous navigation in a manufacturing environment, IEEE Transactions on Robotics and Automation, 6, 445, 10.1109\u002F70.59355\nBurks, 1987, Autonomous navigation, exploration, and recognition using the HERMIES-IIB robot, IEEE Expert, 10.1109\u002FMEX.1987.5006527\nThorpe, 1987, Vision and navigation for the Carnegie Mellon Navlab, 1, 143\nOlin, 1987, Developments in knowledge-based vision for obstacle detection and avoidance, 1, 78\nDaily, 1987, Detecting obstacles in range imagery, 1, 87\nOlin, 1987, Knowledge-based vision technology, 2, 88\nWeisbin, 1990, HERMIES-III: A step toward autonomous mobility, manipulation and perception, Robotica, 8, 7, 10.1017\u002FS0263574700007268\nJarvis, 1983, A perspective on range finding techniques for computer vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-5, 122, 10.1109\u002FTPAMI.1983.4767365\nAndersen, 1990, Configuration space path planning based on laser range data\nRoth-Tabak, 1989, Building an environment model using depth information, IEEE Computer, 6, 85, 10.1109\u002F2.30724\nPiper, 1986, Computing distance transformations in convex and non-convex domains, Pattern Recognition, 20, 599\nBorgefors, 1986, Distance tranformations in digital images, Computer Vision, Graphics and Image Processing, 34, 344, 10.1016\u002FS0734-189X(86)80047-0\nTanaka, 1986, ARTS: Accelerated ray-tracing system, IEEE Computer Graphics and Applications, 6, 16, 10.1109\u002FMCG.1986.276715\nBarraquand, 1989, On non-holonomic mobile robots and optimal maneuvering, 340",{"EN":372},"Navigation using range images on a mobile robot",{"VOID":374},"10.1016\u002F0921-8890(92)90023-r","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F092188909290023R",[377,392,408,420,432,444],{"id":378,"sortIndex":211,"researcher":18,"roles":379,"affiliations":380,"properties":389},"39dff675-74d9-4a56-a623-d1b7b5c63eb3",[134],[381],{"id":18,"sortIndex":19,"affiliation":382,"properties":18},{"id":383,"createTime":384,"updateTime":384,"relativeEntities":385,"slug":18,"properties":386,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"75728080-db94-4f8e-8f29-04def7b1e28e","2024-02-07T18:07:47.924+00:00",[],{"title":387},{"VI":388},"Laboratory of Image Analysis, Aalborg University, Aalborg, Denmark",{"title":390},{"VI":391},"Niels O.S. Kirkeby",{"id":393,"sortIndex":394,"researcher":18,"roles":395,"affiliations":396,"properties":405},"d284ffab-2cd8-4edf-8d21-cdadaad93e35",4,[134],[397],{"id":18,"sortIndex":19,"affiliation":398,"properties":18},{"id":399,"createTime":400,"updateTime":400,"relativeEntities":401,"slug":18,"properties":402,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"9dab657c-c20c-4c57-b430-7bb8ab8a1956","2024-02-07T18:07:47.853+00:00",[],{"title":403},{"VI":404},"Center of Engineering Systems Advanced Research, Oak Ridge National Laboratory, P.O. Box 2008, Building 6025, MS-6364, Oak Ridge, TN, USA",{"title":406},{"VI":407},"Judson P. Jones",{"id":409,"sortIndex":227,"researcher":18,"roles":410,"affiliations":411,"properties":417},"f3deebbb-66da-48d9-a2cf-115a485ac014",[134],[412],{"id":18,"sortIndex":19,"affiliation":413,"properties":18},{"id":383,"createTime":384,"updateTime":384,"relativeEntities":414,"slug":18,"properties":415,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":416},{"VI":388},{"title":418},{"VI":419},"Jan J. Sorensen",{"id":421,"sortIndex":151,"researcher":18,"roles":422,"affiliations":423,"properties":429},"efb5bbb5-3e8a-49d2-9ade-7ca84a1a7634",[134],[424],{"id":18,"sortIndex":19,"affiliation":425,"properties":18},{"id":383,"createTime":384,"updateTime":384,"relativeEntities":426,"slug":18,"properties":427,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":428},{"VI":388},{"title":430},{"VI":431},"Claus B. Madsen",{"id":433,"sortIndex":19,"researcher":18,"roles":434,"affiliations":435,"properties":441},"aaa89365-0648-48da-92f6-bef678c90555",[134],[436],{"id":18,"sortIndex":19,"affiliation":437,"properties":18},{"id":383,"createTime":384,"updateTime":384,"relativeEntities":438,"slug":18,"properties":439,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":440},{"VI":388},{"title":442},{"VI":443},"Claus S. Andersen",{"id":445,"sortIndex":446,"researcher":18,"roles":447,"affiliations":448,"properties":454},"39d75104-647a-4590-926e-2f8666ff8405",5,[134],[449],{"id":18,"sortIndex":19,"affiliation":450,"properties":18},{"id":383,"createTime":384,"updateTime":384,"relativeEntities":451,"slug":18,"properties":452,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":453},{"VI":388},{"title":455},{"VI":456},"Henrik I. Christensen",{"url":375,"publisher":458,"properties":480},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":459,"slug":10,"properties":460,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":463,"manageAffiliations":464,"indexDatabases":465,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":461,"title":462},{"VOID":13},{"EN":15},[],[],[466,473],{"id":88,"indexDatabase":467,"url":101,"indexYears":102,"academicFieldIds":472,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":468,"label":469,"description":470,"key":98,"publicationTags":471,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":474,"url":82,"indexYears":18,"academicFieldIds":479,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":475,"label":476,"description":477,"key":78,"publicationTags":478,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":481,"pages":483},{"VOID":482},"10",{"VOID":484},"147-160","1992-01-01",1992,{"id":488,"createTime":489,"updateTime":490,"relativeEntities":491,"slug":492,"properties":493,"entityType":126,"verifyStatus":127,"verifyTime":490,"verifyNote":128,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":500,"fullTextUrl":18,"authors":501,"publicationType":162,"publisherRelationship":568,"citationCount":18,"citationInfo":18,"publishDate":596,"publishYear":597,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"95053800-e145-4a9a-a773-341f1e7e126b","2024-01-26T23:33:23.213+00:00","2025-02-03T23:48:22.414+00:00",[],"Biomimetic-robot-lobster-performs-chemo-orientation-in-turbulence-using-a-pair-of-spatially-separated-sensors-Progress-and-challenges",{"references":494,"title":496,"doi":498},{"VOID":495},"J. Atema, Chemical signals in the marine environment: Dispersal, detection, and temporal signal analysis, in: T. Eisner (Ed.), Chemical Ecology: The Chemistry Of Biotic Interaction, National Academy of Science, Washington, DC, 1994.\nJ. Atema, P. Borroni, B. Johnson, R. Voigt, L. Handrich, Adaptation and mixture interactions in chemoreceptor cells: Mechanisms for diversity and contrast enhancement, in D.L. Laing, W. Cain, R. McBride, B.W. Ache (Eds.), Perception of Complex Smells and Tastes, Academic Press, Sydney, NSW, Australia 1989, pp. 83–100.\nBasil, 1994, Lobster orientation in turbulent odor plumes: simultaneous measurement of tracking behavior and temporal odor patterns, Biological Bulletin, 187, 272, 10.1086\u002FBBLv187n2p272\nBeglane, 1997, Far field chemo-orientation in the American lobster, Homarus americanus: Effects of unilateral ablation, and lesioning of the lateral antennule, Biological Bulletin, 193, 214, 10.1086\u002FBBLv193n2p214\nBelanger, 1996, Adaptive control of odor-guided locomotion: behavioral flexibility as an antidote to environmental unpredictability, Adaptive Behavior, 4, 217, 10.1177\u002F105971239600400302\nBerg, 1977, The physics of chemoreception, Biophysics, 20, 193, 10.1016\u002FS0006-3495(77)85544-6\nDale, 1997, Chemosensory search behavior in the starfish Asterias forbesii, Biological Bulletin, 193, 210, 10.1086\u002FBBLv193n2p210\nT.R. Consi, J. Atema, C. Gouldey, C. Chryssastomidis, AUV guidance with chemical signals, in: Proceedings of the IEEE Symposium on AUV Technology, Cambridge, MA, 1994.\nDerby, 1981, Selective improvements in responses to prey odors by the lobster Homarus americanus following feeding experience, Journal of Chemical Ecology, 7, 1073, 10.1007\u002FBF00987629\nDeveza, 1994, Odor sensing for robot guidance, International Journal of Robotics Research, 13, 232, 10.1177\u002F027836499401300305\nDevine, 1982, Function of chemoreceptor organs in spatial orientation of the lobster, Homarus americanus: Differences and overlap, Biological Bulletin, 163, 144, 10.2307\u002F1541504\nK. Dittmer, F. Grasso, J. Atema, Obstacles to flow produce distinctive patterns of odor dispersal on a scale that could be detected by marine animals, Biological Bulletin 191 (1996) 313–314.\nK. Dittmer, F.W. Grasso, J. Atema, Effects of varying plume turbulence on temporal concentration signals available to orienting lobsters, Biological Bulletin 189 (1995) 232–233.\nC.T. Ferree, B.A. Marcotte, S.R. Lockery, Neural network models of chemotaxis in the nematode Caenorabditis elegans, in: Advances in Neural Information Processing Systems, Vol. 9, MIT Press, Cambridge, MA, 1997, pp. 55–61\nT.C. Ferree, T.M. Morse, S.R. Lockery, Neural networks for chemotaxis in C. elegans: rule extraction and robotics, in: Proceedings of the 27th Annual Meeting of Society for Neuroscience, New Orleans, LA, 1997.\nU. Frisch, Turbulence, Cambridge University Press, Cambridge, UK, 1995.\nGomez, 1996, Temporal resolution in olfaction: Stimulus integration time of lobster chemoreceptors cells, Journal of Experimental Biology, 199, 1771, 10.1242\u002Fjeb.199.8.1771\nGomez, 1994, Frequency filter properties of lobster chemoreceptors cells determined with high-resolution stimulus measurement, Journal of Comparative Physiology A, 174, 803, 10.1007\u002FBF00192730\nF.W. Grasso, J.A. Basil, J. Atema, Directional information in the dynamics structure of a turbulent odor plume measured with a pair of lobster-scaled “odor” sensors, in preparation.\nGrasso, 1996, Behavior of a purely chemotactic robot Lobster reveals different odor dispersal patterns in the jet region and the patch field of a turbulent plume, Biological Bulletin, 191, 312, 10.1086\u002FBBLv191n2p312\nGrasso, 1997, Effectiveness of continuous bilateral sampling for robot chemotaxis in a turbulent odor plume: Implications for Lobster chemo-orientation, Biological Bulletin, 193, 315, 10.1086\u002FBBLv193n2p215\nC.M. Guenther, H.A. Miller, J.A. Basil, J. Atema, Orientation behavior of the lobster: Responses to directional chemical, orientation behavior of the lobster: responses to directional chemical and hydrodynamic stimulation of the antennules, Biological Bulletin 191 (1996) 310–311.\nIshida, 1996, Odour-source localization system mimicking behavior of silkworm moth, Sensors and Actuators A, 51, 225, 10.1016\u002F0924-4247(95)01220-6\nIshida, 1996, Odor-source localization in the clean room by an autonomous mobile sensing system, Sensors and Actuators B, 33, 115, 10.1016\u002F0925-4005(96)01907-7\nIshida, 1994, Study of autonomous mobile sensing system for localization of odor source using gas sensors and anemometric sensors, Sensors and Actuators A, 45, 154, 10.1016\u002F0924-4247(94)00829-9\nKennedy, 1983, Zigzagging and casting as a response to wind-bourne odour: A review, Physiological Entomology, 8, 19, 10.1111\u002Fj.1365-3032.1983.tb00340.x\nY. Kuwana, I. Shimoyama, Y. Sayama, H. Miura, A robot that behaves like a silk moth in the pheromone stream, in: Proceedings of the International Conference on Artificial Life V, Nara, MIT Press, Cambridge, MA, 1996.\nMafra-Neto, 1994, Fine-scale structure of pheromone plumes modulates upwind orientation of flying moths, Nature, 369, 142, 10.1038\u002F369142a0\nMonismith, 1990, A study of model bivalve siphonal currents, Limnology and Oceanography, 35, 680, 10.4319\u002Flo.1990.35.3.0680\nMoore, 1991, Spatial information in the three-dimensional fine structure of an aquatic plume, Biological Bulletin, 181, 408, 10.2307\u002F1542361\nMoore, 1997, Role of chemical signals in the orientation behavior of the sea star Asterias forbsii, Biological Bulletin, 192, 410, 10.2307\u002F1542750\nMoore, 1991, Chemical orientation of lobsters, Homarus americanus, in turbulent odor plumes, Journal of Chemical Ecology, 17, 1293, 10.1007\u002FBF00983763\nMorse, 1998, Robust spatial navigation in a robot inspired by chemotaxis in Caenorhabditis elegans, Adaptive Behavior, 6, 393, 10.1177\u002F105971239800600303\nMurlis, 1992, Odor plumes and how insects use them, Annual Review of Entomology, 37, 505, 10.1146\u002Fannurev.en.37.010192.002445\nMurlis, 1981, Fine-scale structure of odour plumes in relation to insect orientation to distant pheromones and other attractant sources, Physiological Entomology, 6, 71, 10.1111\u002Fj.1365-3032.1981.tb00262.x\nPlatt, 1964, Strong inference, Science, 146, 347, 10.1126\u002Fscience.146.3642.347\nReeder, 1980, Chemotaxis in the Florida spiny lobster, Panulirus argus, Animal Behavior, 28, 831, 10.1016\u002FS0003-3472(80)80143-6\nR. Rozas, J. Morales, D. Vega, Artificial smell detection for robotic navigation, in: Proceedings of the Fifth International Conference on Advanced Robotics, IEEE, New York, 1991.\nA. Russell, D. Thiel, A. Mackay-Sim, Sensing odour trails for mobile robot navigation, in: Proceedings of the IEEE Conference on Robotics and Automation, San Diego, CA, IEEE, New York, 1994.\nR.A. Russell, Laying and sensing odor markings as a strategy for assisting mobile robot navigation tasks, IEEE Robotics and Automation Magazine (1995) 3–9.\nR.R. Sokal, F.J. Rohlf, Biometry: The Principles and Practice of Statistics in Biological Research, Freeman, New York, 1980.\nTautz, 1987, Water vibration elicits active antennal movements in the crayfish Orconectes limosus, Animal Behavior, 35, 748, 10.1016\u002FS0003-3472(87)80111-2\nVoigt, 1997, Spectral tuning of the chemoreceptor cells in the lateral antennules of the American lobster, Homarus americanus, Marine and Freshwater Behavior and Physiology, 30, 19, 10.1080\u002F10236249709379013\nWilkens, 1996, Antennal responses to hydrodynamic and tactile stimulus in the spiny lobster, Panuluris argus, Biological Bulletin, 191, 187, 10.2307\u002F1542922",{"EN":497},"Biomimetic robot lobster performs chemo-orientation in turbulence using a pair of spatially separated sensors: Progress and challenges",{"VOID":499},"10.1016\u002Fs0921-8890(99)00068-8","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0921889099000688",[502,523,538,553],{"id":503,"sortIndex":211,"researcher":18,"roles":504,"affiliations":505,"properties":520},"bb0d4d57-32dc-4345-87ea-f06bda380024",[134],[506],{"id":507,"sortIndex":19,"affiliation":508,"properties":517},"bec79f88-635b-4b91-9cfa-5c09e5147a24",{"id":509,"createTime":510,"updateTime":511,"relativeEntities":512,"slug":513,"properties":514,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"d5848976-7d47-4674-bdbc-60d6785cd45a","2024-09-29T08:27:19.265+00:00","2025-02-09T23:40:58.610+00:00",[],"Department-of-Biomedical-Engineering-Boston-University-Boston-MA-United-States",{"title":515},{"EN":516},"Department of Biomedical Engineering, Boston University, Boston, MA, United States",{"title":518},{"VI":519},"Department of Biomedical Engineering, Boston University, Boston, MA, USA",{"title":521},{"VI":522},"Jelle Atema",{"id":524,"sortIndex":227,"researcher":18,"roles":525,"affiliations":526,"properties":535},"31ee9349-c4c4-4f93-b85b-2cd3d746cc96",[134],[527],{"id":528,"sortIndex":19,"affiliation":529,"properties":533},"697307d7-e789-4a43-843f-7836d5c8539a",{"id":509,"createTime":510,"updateTime":511,"relativeEntities":530,"slug":513,"properties":531,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":532},{"EN":516},{"title":534},{"VI":519},{"title":536},{"VI":537},"David C Mountain",{"id":539,"sortIndex":19,"researcher":18,"roles":540,"affiliations":541,"properties":550},"8f20cf3b-243e-4336-8e96-bef1120361e7",[134],[542],{"id":18,"sortIndex":19,"affiliation":543,"properties":18},{"id":544,"createTime":545,"updateTime":545,"relativeEntities":546,"slug":18,"properties":547,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"53e88fc9-1541-4a5b-89ea-ed850b8120d2","2024-01-26T23:33:23.229+00:00",[],{"title":548},{"VI":549},"Boston University Marine Program, Marine Biological Lab, Woods Hole, MA, 02543, USA",{"title":551},{"VI":552},"Frank W Grasso",{"id":554,"sortIndex":151,"researcher":18,"roles":555,"affiliations":556,"properties":565},"a289951c-d79f-42c7-9d22-21b949723f91",[134],[557],{"id":18,"sortIndex":19,"affiliation":558,"properties":18},{"id":559,"createTime":560,"updateTime":560,"relativeEntities":561,"slug":18,"properties":562,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"54e65248-b367-4a87-b6c2-6e93a8d64a00","2024-01-26T23:33:23.240+00:00",[],{"title":563},{"VI":564},"Department of Ocean Engineering, MIT, 77 Massachusetts Ave., Cambridge, MA, 02139-4307, USA",{"title":566},{"VI":567},"Thomas R Consi",{"url":500,"publisher":569,"properties":591},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":570,"slug":10,"properties":571,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":574,"manageAffiliations":575,"indexDatabases":576,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":572,"title":573},{"VOID":13},{"EN":15},[],[],[577,584],{"id":88,"indexDatabase":578,"url":101,"indexYears":102,"academicFieldIds":583,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":579,"label":580,"description":581,"key":98,"publicationTags":582,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":585,"url":82,"indexYears":18,"academicFieldIds":590,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":586,"label":587,"description":588,"key":78,"publicationTags":589,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":592,"pages":594},{"VOID":593},"30",{"VOID":595},"115-131","2000-01-01",2000,{"id":599,"createTime":600,"updateTime":601,"relativeEntities":602,"slug":603,"properties":604,"entityType":126,"verifyStatus":127,"verifyTime":601,"verifyNote":128,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":611,"fullTextUrl":18,"authors":612,"publicationType":162,"publisherRelationship":733,"citationCount":18,"citationInfo":18,"publishDate":761,"publishYear":361,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"29a82d8f-b55b-4c23-98a5-2607aa77b8a7","2024-01-26T08:02:29.227+00:00","2025-01-09T23:47:42.933+00:00",[],"Path-planning-of-multiple-autonomous-marine-vehicles-for-adaptive-sampling-using-Voronoi-based-ant-colony-optimization",{"references":605,"title":607,"doi":609},{"VOID":606},"Das, 2016, Cooperative formation control of autonomous underwater vehicles: An overview, Int. J. Automat. Comput., 13, 199, 10.1007\u002Fs11633-016-1004-4\nRudnick, 2016, Ocean research enabled by underwater gliders, Ann. Rev. Mar. Sci., 8, 519, 10.1146\u002Fannurev-marine-122414-033913\nNad, 2015, Navigation, guidance and control of an overactuated marine surface vehicle, Annu. Rev. Control, 40, 172, 10.1016\u002Fj.arcontrol.2015.08.005\nZeng, 2015, A survey on path planning for persistent autonomy of autonomous underwater vehicles, Ocean Eng., 110, 303, 10.1016\u002Fj.oceaneng.2015.10.007\nLiu, 2015, Unmanned surface vehicles: An overview of developments and challenges, Annu. Rev. Control, 41, 71, 10.1016\u002Fj.arcontrol.2016.04.018\nRyan, 2010, USC CINAPS Builds bridges observing and monitoring the southern california, IEEE Robot. Autom. Mag., 17, 20, 10.1109\u002FMRA.2010.935795\nMahmoudzadeh, 2018, UUV’s hierarchical DE-based motion planning in a semi dynamic underwater wireless sensor network, IEEE Trans. Cybern., 1, 10.1109\u002FTCYB.2018.2837134\nSubramani, 2016, Energy-optimal path planning by stochastic dynamically orthogonal level-set optimization, Ocean Model., 100, 57, 10.1016\u002Fj.ocemod.2016.01.006\nZeng, 2016, A comparison of optimization techniques for AUV path planning in environments with ocean currents, Robot. Auton. Syst., 82, 61, 10.1016\u002Fj.robot.2016.03.011\nEichhorn, 2015, Optimal routing strategies for autonomous underwater vehicles in time-varying environment, Robot. Auton. Syst., 67, 33, 10.1016\u002Fj.robot.2013.08.010\nGarau, 2005, Path planning of autonomous underwater vehicles in current fields with complex spatial variability: an a* approach, 194\nHollinger, 2014, Sampling-based robotic information gathering algorithms, Int. J. Robot. Res., 33, 1271, 10.1177\u002F0278364914533443\nYilmaz, 2008, Path planning of autonomous underwater vehicles for adaptive sampling using mixed integer linear programming, IEEE J. Ocean. Eng., 33, 522, 10.1109\u002FJOE.2008.2002105\nSmith, 2011, Persistent ocean monitoring with underwater gliders: Adapting sampling resolution, J. Field Robot., 28, 714, 10.1002\u002Frob.20405\nFerri, 2015, Mission planning and decision support for underwater glider networks: A sampling on-demand approach, Sensors (Switzerland), 16, 10.3390\u002Fs16010028\nDas, 2015, Data-driven robotic sampling for marine ecosystem monitoring, Int. J. Robot. Res., 34, 1435, 10.1177\u002F0278364915587723\nMa, 2017, Data-driven learning and planning for environmental sampling, J. Field Robot.\nMa, 2016, An information-driven and disturbance-aware planning method for long-term ocean monitoring, 2102\nZhou, 2017, Adaptive re-planning of AUVs for environmental sampling missions: A Fuzzy decision support system based on multi-objective particle swarm optimization, Int. J. Fuzzy Syst.\nZeng, 2018, Rendezvous path planning for multiple autonomous marine vehicles, IEEE J. Ocean. Eng., 43, 640, 10.1109\u002FJOE.2017.2723058\nMoon, 2015, Decentralized information-theoretic task assignment for searching and tracking of moving targets, 1031\nKovács, 2016, A novel potential field method for path planning of mobile robots by adapting animal motion attributes, Robot. Auton. Syst., 82, 24, 10.1016\u002Fj.robot.2016.04.007\nDijkstra, 1959, A note on two problems in connection with graphs, 269\nFu, 2018, An improved a* algorithm for the industrial robot path planning with high success rate and short length, Robot. Auton. Syst., 106, 26, 10.1016\u002Fj.robot.2018.04.007\nFerguson, 2006, Using interpolation to improve path planning : The field D * algorithm, J. Field Robot., 23, 79, 10.1002\u002Frob.20109\nKaraman, 2010, Sampling-based algorithms for optimal motion planning, Int. J. Robot. Res., 30, 20\nElbanhawi, 2014, Sampling-based robot motion planning: A review, IEEE Access, 2, 56, 10.1109\u002FACCESS.2014.2302442\nAghababa, 2012, Application of GA, PSO, and ACO algorithms to path planning of autonomous underwater vehicles, J. Mar. Sci. Appl., 11, 378, 10.1007\u002Fs11804-012-1146-x\nZeng, 2014, Shell space decomposition based path planning for AUVs operating in a variable environment, Ocean Eng., 91, 181, 10.1016\u002Fj.oceaneng.2014.09.001\nBlum, 2005, Ant colony optimization: Introduction and recent trends, Phys. Life Rev., 2, 353, 10.1016\u002Fj.plrev.2005.10.001\nMarinakis, 2017, A hybrid particle swarm optimization variable neighborhood search algorithm for constrained shortest path problems, European J. Oper. Res., 261, 819, 10.1016\u002Fj.ejor.2017.03.031\nYongBo, 2017, Three-dimensional unmanned aerial vehicle path planning using modified wolf pack search algorithm, Neurocomputing, 266, 445, 10.1016\u002Fj.neucom.2017.05.059\nMa, 1995, Parameterization of randomly measured points for least squares fitting of b-spline curves and surfaces, Comput. Aided Des., 27, 663, 10.1016\u002F0010-4485(94)00018-9\nArzamendia, 2017, An evolutionary approach to constrained path planning of an autonomous surface vehicle for maximizing the covered area of Ypacarai Lake, Soft Comput., 1\nDorigo, 1996, Ant system: Optimization by a colony of cooperating agents, IEEE Trans. Syst. Man Cybern., 26, 1, 10.1109\u002F3477.484436\nCui, 2016, Mutual information-based multi-AUV path planning for scalar field sampling using multidimensional RRT*, IEEE Trans. Syst. Man Cybern. Syst., 46, 993, 10.1109\u002FTSMC.2015.2500027\nAmmar, 2016, Relaxed Dijkstra and A* with linear complexity for robot path planning problems in large-scale grid environments, Soft Comput., 20, 4149, 10.1007\u002Fs00500-015-1750-1\nPerez-Carabaza, 2018, Ant colony optimization for multi-UAV minimum time search in uncertain domains, Appl. Soft Comput. J., 62, 789, 10.1016\u002Fj.asoc.2017.09.009\nMahmoudZadeh, 2018, Online path planning for AUV rendezvous in dynamic cluttered undersea environment using evolutionary algorithms, Appl. Soft Comput., 70, 929, 10.1016\u002Fj.asoc.2017.10.025\nZeng, 2015, Efficient path re-planning for AUVs operating in spatiotemporal currents, J. Intell. Robot. Syst., Theory Appl., 79, 135, 10.1007\u002Fs10846-014-0104-z\nYazdani, 2017, IDVD-based trajectory generator for autonomous underwater docking operations, Robot. Auton. Syst., 92, 12, 10.1016\u002Fj.robot.2017.02.001\nCao, 2016, Toward optimal rendezvous of multiple underwater gliders: 3D path planning with combined sawtooth and spiral motion, J. Intell. Robot. Syst., Theory Appl., 1\nCao, 2016, Nonlinear multiple-input-multiple-output adaptive backstepping control of underwater glider systems, Int. J. Adv. Robot. Syst., 13, 1, 10.1177\u002F1729881416669484\nYu, 2017, Nonlinear guidance and fuzzy control for three-dimensional path following of an underactuated autonomous underwater vehicle, Ocean Eng., 146, 457, 10.1016\u002Fj.oceaneng.2017.10.001\nXiang, 2017, On intelligent risk analysis and critical decision of underwater robotic vehicle, Ocean Eng., 140, 453, 10.1016\u002Fj.oceaneng.2017.06.020",{"EN":608},"Path planning of multiple autonomous marine vehicles for adaptive sampling using Voronoi-based ant colony optimization",{"VOID":610},"10.1016\u002Fj.robot.2019.02.002","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0921889018304469",[613,650,669,695,714],{"id":614,"sortIndex":211,"researcher":18,"roles":615,"affiliations":616,"properties":647},"0956b722-23a0-4b11-820b-e8ea1cb551ce",[134],[617,629,639],{"id":618,"sortIndex":151,"affiliation":619,"properties":628},"e3cae394-0550-401b-9e7b-1da6e359f34c",{"id":620,"createTime":621,"updateTime":622,"relativeEntities":623,"slug":624,"properties":625,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"140c5b24-6c6e-4e53-9377-111e5bb34559","2024-01-26T08:02:29.280+00:00","2024-12-29T06:49:58.467+00:00",[],"Institute-of-Oceanography-Shanghai-Jiao-Tong-University-Shanghai-China",{"title":626},{"VI":627},"Institute of Oceanography, Shanghai Jiao Tong University, Shanghai, China",{},{"id":630,"sortIndex":227,"affiliation":631,"properties":638},"ccf45a1d-53dc-48e1-a34b-696a3e7a0340",{"id":632,"createTime":633,"updateTime":633,"relativeEntities":634,"slug":18,"properties":635,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"8c7bb70e-1ff2-4aa0-8687-2ef684c899bb","2023-12-06T00:13:07.488+00:00",[],{"title":636},{"VI":637},"Qingdao Collaborative Innovation Center of Marine Science and Technology, Qingdao, China",{},{"id":18,"sortIndex":19,"affiliation":640,"properties":18},{"id":641,"createTime":642,"updateTime":642,"relativeEntities":643,"slug":18,"properties":644,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"95415fb6-c302-4dbf-8ee0-e52855681daa","2023-12-05T23:11:56.348+00:00",[],{"title":645},{"VI":646},"State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China",{"title":648},{"VI":649},"Zheng Zeng",{"id":651,"sortIndex":19,"researcher":18,"roles":652,"affiliations":653,"properties":666},"152974fb-2a0e-4879-8b9f-8e678451b443",[134],[654,661],{"id":655,"sortIndex":151,"affiliation":656,"properties":660},"ab8810f9-a1bc-4409-ad83-2f9b451ae2c4",{"id":620,"createTime":621,"updateTime":622,"relativeEntities":657,"slug":624,"properties":658,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":659},{"VI":627},{},{"id":18,"sortIndex":19,"affiliation":662,"properties":18},{"id":641,"createTime":642,"updateTime":642,"relativeEntities":663,"slug":18,"properties":664,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":665},{"VI":646},{"title":667},{"VI":668},"Chengke Xiong",{"id":670,"sortIndex":394,"researcher":18,"roles":671,"affiliations":672,"properties":692},"7b1d7c06-eca8-4fa9-870c-4ea0bf9bbab6",[134],[673,680,687],{"id":674,"sortIndex":151,"affiliation":675,"properties":679},"46e9bd00-7f04-4383-a3f8-884ffb8fc9dc",{"id":620,"createTime":621,"updateTime":622,"relativeEntities":676,"slug":624,"properties":677,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":678},{"VI":627},{},{"id":681,"sortIndex":227,"affiliation":682,"properties":686},"330bccc8-025b-41c3-950e-119f29652658",{"id":632,"createTime":633,"updateTime":633,"relativeEntities":683,"slug":18,"properties":684,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":685},{"VI":637},{},{"id":18,"sortIndex":19,"affiliation":688,"properties":18},{"id":641,"createTime":642,"updateTime":642,"relativeEntities":689,"slug":18,"properties":690,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":691},{"VI":646},{"title":693},{"VI":694},"Lian Lian",{"id":696,"sortIndex":227,"researcher":18,"roles":697,"affiliations":698,"properties":711},"0f2d7823-f66c-4a1e-8c35-9d93513c4493",[134],[699,704],{"id":18,"sortIndex":19,"affiliation":700,"properties":18},{"id":641,"createTime":642,"updateTime":642,"relativeEntities":701,"slug":18,"properties":702,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":703},{"VI":646},{"id":705,"sortIndex":151,"affiliation":706,"properties":710},"ea6b4a90-3b64-433f-8c50-75112e8c4645",{"id":620,"createTime":621,"updateTime":622,"relativeEntities":707,"slug":624,"properties":708,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":709},{"VI":627},{},{"title":712},{"VI":713},"Di Lu",{"id":715,"sortIndex":151,"researcher":18,"roles":716,"affiliations":717,"properties":730},"254e607c-fbe9-4238-beab-0defb8b7afd2",[134],[718,725],{"id":719,"sortIndex":151,"affiliation":720,"properties":724},"9a941e44-b70b-4ef3-9fa5-ffb40f42b6fd",{"id":620,"createTime":621,"updateTime":622,"relativeEntities":721,"slug":624,"properties":722,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":723},{"VI":627},{},{"id":18,"sortIndex":19,"affiliation":726,"properties":18},{"id":641,"createTime":642,"updateTime":642,"relativeEntities":727,"slug":18,"properties":728,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":729},{"VI":646},{"title":731},{"VI":732},"Danfeng Chen",{"url":611,"publisher":734,"properties":756},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":735,"slug":10,"properties":736,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":739,"manageAffiliations":740,"indexDatabases":741,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":737,"title":738},{"VOID":13},{"EN":15},[],[],[742,749],{"id":88,"indexDatabase":743,"url":101,"indexYears":102,"academicFieldIds":748,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":744,"label":745,"description":746,"key":98,"publicationTags":747,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":750,"url":82,"indexYears":18,"academicFieldIds":755,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":751,"label":752,"description":753,"key":78,"publicationTags":754,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":757,"pages":759},{"VOID":758},"115",{"VOID":760},"90-103","2019-05-01",{"id":763,"createTime":764,"updateTime":764,"relativeEntities":765,"slug":18,"properties":766,"entityType":126,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":773,"fullTextUrl":18,"authors":774,"publicationType":162,"publisherRelationship":863,"citationCount":18,"citationInfo":18,"publishDate":891,"publishYear":892,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"c6cd6146-2ec5-4f51-b612-84d3433221d5","2024-02-12T23:47:22.577+00:00",[],{"references":767,"title":769,"doi":771},{"VOID":768},"Goertz, 1952, Fundamentals of general-purpose remote manipulators, Nucleonics, 10, 36\nT. Fletcher, The undersea mobot, Nuclear Electronics Laboratory of Hughes Aircraft Company, Tech. Rep., Jan 1960.\nAmbrose, 2000, Robonaut: Nasa’s space humanoid, IEEE Intelligent Systems and their Applications, 15, 57, 10.1109\u002F5254.867913\nWhitney, 1987, Historical perspective and state of the art in robot force control, International Journal of Robotics Research, 6, 3, 10.1177\u002F027836498700600101\nSheridan, 1989, Telerobotics, Automatica, 25, 487, 10.1016\u002F0005-1098(89)90093-9\n1990\nBloss, 2010, Robotics innovations at the 2009 assembly technology expo, Industrial Robot: An International Journal, 37, 427, 10.1108\u002F01439911011063245\nA. Oyama, K. Konolige, S. Cousins, S. Chitta, K. Conley, G. Bradski, Come on in, our community is wide open for robotics research!, in: The 27th Annual Conference of the Robotics Society of Japan, 09\u002F2009, 2009.\nCaccavale, 2008, Six-dof impedance control of dual-arm cooperative manipulators, IEEE\u002FASME Transactions on Mechatronics, 13, 576, 10.1109\u002FTMECH.2008.2002816\nOzawa, 2005, Control of an object with parallel surfaces by a pair of finger robots without object sensing, IEEE Transactions on Robotics, 21, 965, 10.1109\u002FTRO.2005.852263\nD. Kragic, H.I. Christensen, Survey on visual servoing for manipulation, Royal Institute of Technology (KTH), Stockholm, Sweden, Tech. Rep. ISRN KTH\u002FNA\u002FP-02\u002F01-SE, CVAP259, 2002.\nB.M. Jau, Anthropomorphic exoskeleton dual arm\u002Fhand telerobot controller, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, 1988.\nW.-K. Yoon, Y. Tsumaki, M. Uchiyama, An experimental system for dual-arm robot teleoperation in space with concepts of virtual grip and ball, in: International Conference on Advanced Robotics, Tokyo, Japan, 1999, pp. 225–230.\nA. Kron, G. Schmidt, Bimanual haptic telepresence technology employed to demining operations, in: Eurohaptics, Munich, Germany, 2004, pp. 490–493.\nM. Buss, M. Kuschel, K. Lee, A. Peer, B. Stanczyk, U. Unterhinninghofen, High fidelity telepresence systems: design, control, and evaluation, in: Joint International COE\u002FHAM SFB-453 Workshop on Human Adaptive Mechatronics and High-Fidelity Telepresence, Tokyo, Japan, 2006.\nTaylor, 2010, Control of a dualarm robotic manipulator, Nuclear Engineering International, 55, 24\nS. Lee, S. Kim, A self-reconfigurable dual-arm system, in: IEEE International Conference on Robotics and Automation, Apr. 1991.\nEdsinger, 2008, vol. 370, 345\nShauri, 2011, Assembly manipulation of small objects by dual-arm manipulator, Assembly Automation, 31, 263, 10.1108\u002F01445151111150604\nP. Ögren, C. Smith, Y. Karayiannidis, D. Kragic, A multi objective control approach to online dual arm manipulation, in: International IFAC Symposium on Robot Control, SyRoCo, Dubrovnik, Croatia, Sep. 2012.\nGoncalves, 2000, Attention and categorization: basis for cognition in a humanoid robot, IEEE Intelligent Systems and Applications\nA. Albers, S. Brudniok, J. Ottnad, C. Sauter, K. Sedchaicham, Upper body of a new humanoid robot—the design of armar iii, in: 2006 6th IEEE-RAS International Conference on Humanoid Robots, Dec. 2006, pp. 308–313.\nKemp, 2007, Challenges for robot manipulation in human environments (grand challenges of robotics), IEEE Robotics Automation Magazine, 14, 20, 10.1109\u002FMRA.2007.339604\nM. Fuchs, C. Borst, P. Giordano, A. Baumann, E. Kraemer, J. Langwald, R. Gruber, N. Seitz, G. Plank, K. Kunze, R. Burger, F. Schmidt, T. Wimboeck, G. Hirzinger, Rollin’ justin—design considerations and realization of a mobile platform for a humanoid upper body, in: IEEE International Conference on Robotics and Automation, May 2009, pp. 4131–4137.\nWimböck, 2012, Dual-arm manipulation, vol. 76, 353\nA. Edsinger-Gonzales, J. Weber, Domo: a force sensing humanoid robot for manipulation research, in: IEEE International Conference on Humanoid Robots, vol. 1, Nov. 2004, pp. 273–291.\nH. Nakai, M. Yamataka, T. Kuga, S. Kuge, H. Tadano, H. Nakanishi, M. Furukawa, H. Ohtsuka, Development of dual-arm robot with multi-fingered hands, in: IEEE International Symposium on Robot and Human Interactive Communication, Hatfield, UK, 2006, pp. 208–213.\nC. Park, K. Park, D.I. Park, J.-H. Kyung, Dual arm robot manipulator and its easy teaching system, in: IEEE International Symposium on Assembly and Manufacturing, Nov. 2009, pp. 242–247.\nH. Tanabe, T. Fujiwara, Y. Miyano, T. Shimada, M. Hirai, M. Nakahata, Development of the dual-arm robot for built with our intrinsic safety technology and optimal power output for production of small-scale appliance, Kawada Industries, Inc., Tech. Rep., Jan. 2010.\nKruger, 2011, Dual arm robot for flexible and cooperative assembly, CIRP Annals—Manufacturing Technology, 60, 5, 10.1016\u002Fj.cirp.2011.03.017\nZivanovic, 2006\nCaccavale, 2008\nG. Grunwald, C. Borst, J. Zöllner, Benchmarking dexterous dual-arm\u002Fhand robotic manipulation, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, Workshop on Performance Evaluation and Benchmarking, Nice, France, 2008.\nD. Surdilovic, Y. Yakut, T.-M. Nguyen, X. Pham, A. Vick, R. Martin, Complience control with dual-arm humanoid robots: design, planning, and programming, in: IEEE International Conference on Humanoid Robots, 2010, pp. 275–281.\nM. Bell (Ed.) Flexible Object Manipulation, Dartmouth College, Ph.D. Thesis, 2010.\nY.-H. Liu, S. Arimoto, V. Parra-Vega, K. Kitagaki, Adaptive distributed cooperation controller for multiple manipulators, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, Workshop on Human Robot Interaction and Cooperative Robots, vol. 1, 1995, pp. 489–494.\nGudiño-Lau, 2005, Dynamic model and simulation of cooperative robots: a case study, Robotica, 23, 615, 10.1017\u002FS0263574704001213\nYun, 1991, An approach to simultaneous control of trajectory and interaction forces in dual-arm configurations, IEEE Transactions on Robotics and Automation, 7, 618, 10.1109\u002F70.97873\nWilliams, 1993, The virtual linkage: a model for internal forces in multi-grasp manipulation, 1025\nChiacchio, 1991, Global task space manipulability ellipsoids for multiple-arm systems, IEEE Transactions on Robotics and Automation, 7, 678, 10.1109\u002F70.97880\nTanner, 1998, Modeling of multiple mobile manipulators handling a common deformable object, Journal of Robotic Systems, 15, 599, 10.1002\u002F(SICI)1097-4563(199811)15:11\u003C599::AID-ROB1>3.0.CO;2-O\nSwain, 2004, Dynamic control of multi-arm co-operating manipulator systems, Robotica, 22, 271, 10.1017\u002FS0263574703005599\nPrattichizzo, 2008\nSarkar, 1997, Dynamic control of 3-d rolling contacts in two-arm manipulation, IEEE Transactions on Robotics and Automation, 13, 364, 10.1109\u002F70.585899\nYoshikawa, 2010, Multifingered robot hands: control for grasping and manipulation, Annual Reviews in Control, 34, 199, 10.1016\u002Fj.arcontrol.2010.09.001\nArimoto, 2007, A differential-geometric approach for 2d and 3d object grasping and manipulation, Annual Reviews in Control, 31, 189, 10.1016\u002Fj.arcontrol.2007.08.004\nA. Kawamura, K. Tahara, R. Kurazume, T. Hasegawa, Simple orientation control of an object by regrasping using a dual-arm manipulator with multi-fingered hands, in: International Conference on Advanced Robotics, June 2009, pp. 1–6.\nY. Li, I. Kao, A review of modeling of soft-contact fingers and stiffness control for dextrous manipulation in robotics, in: IEEE International Conference on Robotics and Automation, vol. 3, 2001, pp. 3055–3060.\nYoshikawa, 1999, Virtual truss model for characterization of internal forces for multiple finger grasps, IEEE Transactions on Robotics and Automation, 15, 941, 10.1109\u002F70.795797\nT. Yoshikawa, Passive and active closures by constraining mechanisms, in: IEEE International Conference on Robotics and Automation, vol. 2, Apr. 1996, pp. 1477–1484.\nHan, 2000, Grasp analysis as linear matrix inequality problems, IEEE Transactions on Robotics and Automation, 16, 663, 10.1109\u002F70.897778\nBicchi, 1995, On the closure properties of robotic grasping, The International Journal of Robotics Research, 14, 319, 10.1177\u002F027836499501400402\nPollard, 2004, Closure and quality equivalence for efficient synthesis of grasps from examples, The International Journal of Robotics Research, 23, 595, 10.1177\u002F0278364904044402\nZheng, 2005, Coping with the grasping uncertainties in force-closure analysis, The International Journal of Robotics Research, 24, 311, 10.1177\u002F0278364905049469\nStrandberg, 2006, A method for grasp evaluation based on disturbance force rejection, IEEE Transactions on Robotics, 22, 461, 10.1109\u002FTRO.2006.870665\nWatanabe, 2007, Grasping optimization using a required external force set, IEEE Transactions on Automation Science and Engineering, 4, 52, 10.1109\u002FTASE.2006.873005\nCiocarlie, 2009, Hand posture subspaces for dexterous robotic grasping, The International Journal of Robotics Research, 28, 851, 10.1177\u002F0278364909105606\nGabiccini, 2010, On the role of hand synergies in the optimal choice of grasping forces, Robotics: Science and Systems\nBicchi, 1995, On the mobility and manipulability of general multiple limb robots, IEEE Transactions on Robotics and Automation, 11, 215, 10.1109\u002F70.370503\nH. Wakamatsu, S. Hirai, K. Iwata, Static analysis of deformable object grasping based on bounded force closure, in: IEEE International Conference on Robotics and Automation, vol. 4, 1996, pp. 3324–3329.\nT. Watanabe, Softness effects on manipulability and grasp stability, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, Sept. 2011, pp. 1398–1404.\nF. Ficuciello, R. Carloni, L. Visser, S. Stramigioli, Port-Hamiltonian modeling for soft-finger manipulation, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, Oct. 2010, pp. 4281–4286.\nSong, 2000, Analysis of rigid body dynamic models for simulation of systems with frictional contacts, Journal of Applied Mechanics, 68, 118, 10.1115\u002F1.1331060\nDoulgeri, 2006, Nonlinear manipulation control of a compliant object by dual fingers, Journal of Dynamic Systems Measurement and Control-Transactions of The ASME, 128, 10.1115\u002F1.2229250\nXi, 1996, Intelligent planning and control for multirobot coordination: an event-based approach, IEEE Transactions on Robotics and Automation, 12, 439, 10.1109\u002F70.499825\nHsu, 1993, Coordinated control of multiple manipulator systems, IEEE Transactions on Robotics and Automation, 9, 400, 10.1109\u002F70.246051\nT. Yoshikawa, Control algorithm for grasping and manipulation by multifingered robot hands using virtual truss model representation of internal force, in: IEEE International Conference on Robotics and Automation, vol. 1, 2000, pp. 369–376.\nT. Watanabe, K. Harada, Z. Jiang, T. Yoshikawa, Object manipulation under hybrid active\u002Fpassive closure, in: IEEE International Conference on Robotics and Automation, April 2005, pp. 1013–1020.\nGudiño Lau, 2004, On the control of cooperative robots without velocity measurements, IEEE Transactions on Control Systems Technology, 12, 600, 10.1109\u002FTCST.2004.824965\nNavarro-Alarcon, 2009, Dexterous cooperative manipulation with redundant robot arms, vol. 5856, 910\nYamano, 2004, Cooperative control of a 3d dual-flexible-arm robot, Journal of Intelligent and Robotic Systems, 39, 1, 10.1023\u002FB:JINT.0000010794.37580.3a\nTinos, 2006, Motion and force control of cooperative robotic manipulators with passive joints, IEEE Transactions on Control Systems Technology, 14, 725, 10.1109\u002FTCST.2006.872505\nGueaieb, 2007, A robust hybrid intelligent position\u002Fforce control scheme for cooperative manipulators, IEEE\u002FASME Transactions on Mechatronics, 12, 109, 10.1109\u002FTMECH.2007.892820\nZhao, 2009, Neural network control of multifingered robot hands using visual feedback, IEEE Transactions on Neural Networks, 20, 758, 10.1109\u002FTNN.2008.2012127\nNakashima, 2009, Control of grasp and manipulation by soft fingers with 3-dimensional deformation, SICE Journal of Control, Measurement, and System Integration, 2, 78, 10.9746\u002Fjcmsi.2.78\nCaccavale, 1999, Stability analysis of a joint space control law for a two-manipulator system, IEEE Transactions on Automatic Control, 44, 85, 10.1109\u002F9.739077\nCaccavale, 2000, Task-space regulation of cooperative manipulators, Automatica, 36, 879, 10.1016\u002FS0005-1098(99)00215-0\nSchneider, 1992, Object impedance control for cooperative manipulation: theory and experimental results, IEEE Transactions on Robotics and Automation, 8, 383, 10.1109\u002F70.143355\nBonitz, 1996, Internal force-based impedance control for cooperating manipulators, IEEE Transactions on Robotics and Automation, 12, 78, 10.1109\u002F70.481752\nR. Bonitz, T. Hsia, Robust dual-arm manipulation of rigid objects via palm grasping—theory and experiments, in: IEEE International Conference on Robotics and Automation, 1996, pp. 22–28.\nV. Lippiello, F. Ruggiero, L. Villani, Inverse kinematics for object manipulation with redundant multi-fingered robotic hands, 2009.\nJ.-H. Bae, S. Arimoto, R. Ozawa, M. Sekimoto, M. Yoshida, A unified control scheme for a whole robotic arm–fingers system in grasping and manipulation, in: IEEE International Conference on Robotics and Automation, May 2006, pp. 2131–2136.\nArimoto, 2002, Stable pinching by a pair of robot fingers with soft tips under the effect of gravity, Robotica, 20, 241, 10.1017\u002FS0263574701003976\nDoulgeri, 2003, Grasping control of rolling manipulations with deformable fingertips, IEEE\u002FASME Transactions on Mechatronics, 8, 283, 10.1109\u002FTMECH.2003.812848\nY. Kume, Y. Hirata, K. Kosuge, Coordinated motion control of multiple mobile manipulators handling a single object without using force\u002Ftorque sensors, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, 2007, pp. 4077–4082.\nSun, 2002, Adaptive synchronized control for coordination of multirobot assembly tasks, IEEE Transactions on Robotics and Automation, 18, 498, 10.1109\u002FTRA.2002.802229\nLian, 2002, Semi-decentralized adaptive fuzzy control for cooperative multirobot systems with h infin; motion\u002Finternal force tracking performance, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 32, 269, 10.1109\u002FTSMCB.2002.999804\nB. Adorno, P. Fraisse, S. Druon, Dual position control strategies using the cooperative dual task-space framework, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, Oct. 2010, pp. 3955–3960.\nTanner, 2003, Nonholonomic navigation and control of cooperating mobile manipulators, IEEE Transactions on Robotics and Automation, 19, 53, 10.1109\u002FTRA.2002.807549\nKelly, 2000, Stable visual servoing of camera-in-hand robotic systems, IEEE\u002FASME Transactions on Mechatronics, 5, 39, 10.1109\u002F3516.828588\nP. Dauchez, P. Fraisse, F. Pierrot, A vision\u002Fposition\u002Fforce control approach for performing assembly tasks with a humanoid robot, in: IEEE International Conference on Humanoid Robots, Dec. 2005, pp. 277–282.\nV. Lippiello, B. Siciliano, L. Villani, An experimental setup for visual servoing applications on an industrial robotic cell, in: IEEE\u002FASME International Conference on Advanced Intelligent Mechatronics, July 2005, pp. 1431–1436.\nLippiello, 2007, An open architecture for sensory feedback control of a dual-arm industrial robotic cell, Industrial Robot: An International Journal, 34, 46, 10.1108\u002F01439910710718441\nE. Zereik, A. Sorbara, G. Casalino, F. Didot, Autonomous dual-arm mobile manipulator crew assistant for surface operations: force\u002Fvision-guided grasping, in: International Conference on Recent Advances in Space Technologies, June 2009, pp. 710–715.\nJ. Maitin-Shepard, M. Cusumano-Towner, J. Lei, P. Abbeel, Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding, in: IEEE International Conference on Robotics and Automation, May 2010, pp. 2308–2315.\nW.-C. Chang, V.-T. Nguyen, Control of cooperative dual-arm mobile robots in a vision-based intelligent space, in: International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, 2010, pp. 296–304.\nZhou, 2011, Coordination control of dual-arm modular robot based on position feedback using Optotrak3020, Industrial Robot: An International Journal, 38, 172, 10.1108\u002F01439911111106381\nK. Huebner, K. Welke, M. Przybylski, N. Vahrenkamp, T. Asfour, D. Kragic, R. Dillmann, Grasping known objects with humanoid robots: a box-based approach, in: International Conference on Advanced Robotics, June 2009, pp. 1–6.\nN. Vahrenkamp, C. Boge, K. Welke, T. Asfour, J. Walter, R. Dillmann, Visual servoing for dual arm motions on a humanoid robot, in: IEEE International Conference on Humanoid Robots, 2009, pp. 208–214.\nSahari, 2010, Edge tracing manipulation of clothes based on different gripper types, Journal of Computer Science, 6, 872, 10.3844\u002Fjcssp.2010.872.879\nR. Platt, R. Burridge, M. Diftler, J. Graf, M. Goza, E. Huber, O. Brock, Humanoid mobile manipulation using controller refinement, in: IEEE International Conference on Humanoid Robots, 2006, pp. 94–101.\nS. Schaal, S. Kotosaka, D. Sternad, Nonlinear dynamical systems as movement primitives, in: IEEE International Conference on Humanoid Robotics, 2000.\nR. Zollner, T. Asfour, R. Dillmann, Programming by demonstration: dual-arm manipulation tasks for humanoid robots, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, vol. 1, Sept.-2 Oct. 2004, pp. 479–484.\nCalinon, 2010, Learning and reproduction of gestures by imitation, IEEE Robotics Automation Magazine, 17, 44, 10.1109\u002FMRA.2010.936947\nE. Gribovskaya, A. Billard, Combining dynamical systems control and programming by demonstration for teaching discrete bimanual coordination tasks to a humanoid robot, in: IEEE\u002FACM International Conference on Human–Robot Interaction, 2008.\nY. Koga, J.-C. Latombe, Experiments in dual-arm manipulation planning, in: IEEE International Conference on Robotics and Automation, vol. 3, May 1992, pp. 2238–2245.\nY. Koga, J.-C. Latombe, On multi-arm manipulation planning, in: IEEE International Conference on Robotics and Automation, vol. 2, May 1994, pp. 945–952.\nJ. Barraquand, P. Ferbach, A penalty function method for constrained motion planning, in: IEEE International Conference on Robotics and Automation, vol. 2, May 1994, pp. 1235–1242.\nAgrawal, 1995, Planning motions of a dual-arm free-floating manipulator keeping the base inertially fixed, Mechanism and Machine Theory, 30, 59, 10.1016\u002F0094-114X(94)00025-G\nS.M. LaValle, Planning algorithms, 2004.\nBien, 1992, A minimum-time trajectory planning method for two robots, IEEE Transactions on Robotics and Automation, 8, 414, 10.1109\u002F70.143360\nShin, 1992, Minimum-time collision-free trajectory planning for dual-robot systems, IEEE Transactions on Robotics and Automation, 8, 641, 10.1109\u002F70.163787\nU. Sezgin, L.D. Seneviratne, S.W.E. Earles, Redundancy utilization for obstacle avoidance of planar robot manipulators, in: Proceedings of the Institution of Mechanical Engineers, 1997.\nSezgin, 1997, Collision avoidance in multiple-redundant manipulators, International Journal of Robotic Research, 16, 714, 10.1177\u002F027836499701600508\nS.M. LaValle, Rapidly-exploring random trees: a new tool for path planning, Computer Science Dept., Iowa State University, Tech. Rep. TR 98-11, October 1998.\nJ. Barraquand, J.-C. Latombe, Robot motion planning: a distributed representation approach, Stanford University, Tech. Rep., May 1989.\nLee, 1989, Dual redundant arm configuration optimization with task-oriented dual arm manipulability, IEEE Transactions on Robotics and Automation, 5, 78, 10.1109\u002F70.88020\nH. Liu, J. Dai, Manipulation analysis of carton-folding task by using ggps and ccps, in: IEEE International Symposium on Intelligent Control, 2002, pp. 637–641.\nN. Vahrenkamp, M. Do, T. Asfour, R. Dillmann, Integrated grasp and motion planning, in: IEEE International Conference on Robotics and Automation, May 2010, pp. 2883–2888.\nM. Gienger, M. Toussaint, C. Goerick, Task maps in humanoid robot manipulation, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, Sept. 2008, pp. 2758–2764.\nM. Toussaint, C. Goerick, Probabilistic inference for structured planning in robotics, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, 29 2007-Nov. 2 2007, pp. 3068–3073.\nvan den Berg, 2011, Gravity-based robotic cloth folding, vol. 68, 409\nM. Beetz, U. Klank, A. Maldonado, D. Pangercic, T. Ruhr, Robotic roommates making pancakes—look into perception-manipulation loop, in: IEEE International Conference on Robotics and Automation, 2011.\nK. Salleh, H. Seki, Y. Kamiya, M. Hikizu, Inchworm robot grippers in clothes manipulation—optimizing the tracing algorithm, in: International Conference on Intelligent and Advanced Systems, 2007, pp. 1051–1055.\nT. Asfour, K. Regenstein, P. Azad, J. Schroder, A. Bierbaum, N. Vahrenkamp, R. Dillmann, ARMAR-III: an integrated humanoid platform for sensory-motor control, in: IEEE International Conference on Humanoid Robots, Dec. 2006, pp. 169–175.\nH. Iwata, S. Sugano, Design of human symbiotic robot twendy-one, in: IEEE International Conference on Robotics and Automation, 2009, pp. 3294–3300.\nHamajima, 2000, Planning strategy for task of unfolding clothes, Robotics and Autonomous Systems, 32, 145, 10.1016\u002FS0921-8890(99)00115-3\nJ. Stückler, S.S. Behnke, Following human guidance to cooperatively carry a large object, in: IEEE International Conference on Humanoid Robots, Oct. 2011.\nS. Hata, T. Hiroyasu, J. Hayashi, H. Hojoh, T. Hamada, Robot system for cloth handling, in: 34th Annual Conference of IEEE Industrial Electronics, Nov. 2008, pp. 3449–3454.\nTakamatsu, 2007, Recognizing assembly tasks through human demonstration, International Journal of Robotics Research, 26, 641, 10.1177\u002F0278364907080736\nZheng, 1994, Trajectory planning for two manipulators to deform flexible beams, Robotics and Autonomous Systems, 12, 55, 10.1016\u002F0921-8890(94)90046-9\nY. Yamada, S. Nagamatsu, Y. Sato, Development of multi-arm robots for automobile assembly, in: IEEE International Conference on Robotics and Automation, vol. 3, May 1995, pp. 2224–2229.\nLiu, 2003, An approach to carton-folding trajectory planning using dual robotic fingers, Robotics and Autonomous Systems, 42, 47, 10.1016\u002FS0921-8890(02)00312-3\nR. Suda, K. Kosuge, H. Kakuya, Object-impedance-based cooperative handling of object by mobile robot helper and human using visual and force information, in: IEEE\u002FASME International Conference on Advanced Intelligent Mechatronics, vol. 1, July 2003, pp. 592–597.\nS. Kock, T. Vittor, B. Matthias, H. Jerregard, M. Kallman, I. Lundberg, R. Mellander, M. Hedelind, Robot concept for scalable, flexible assembly automation: a technology study on a harmless dual-armed robot, in: IEEE International Symposium on Assembly and Manufacturing, May 2011, pp. 1–5.\nWilson, 2010, Robonaut: the next generation, Aerospace America, 48, 26\nT. Haidegger, Advanced robotic arms in space, in: 55th International Astronautical Congress, 2004.\nP. Deegan, B. Thibodeau, R. Grupen, Designing a self-stabilizing robot for dynamic mobile manipulation, in: Robotics: Science and Systems—Workshop on Manipulation for Human Environments, Philadelphia, Pennsylvania, Aug. 2006.\nC. Ott, O. Eiberger, W. Friedl, B. Bauml, U. Hillenbrand, C. Borst, A. Albu-Schäffer, B. Brunner, H. Hirschmüller, S. Kielhöfer, R. Konietschke, M. Suppa, T. Wimböck, F. Zacharias, G. Hirzinger, A humanoid two-arm system for dexterous manipulation, in: 6th IEEE-RAS International Conference on Humanoid Robots, Dec. 2006, pp. 276–283.\nJ. Lemburg, J. de Gea Fernandez, M. Eich, D. Mronga, P. Kampmann, A. Vogt, A. Aggarwal, Y. Shi, F. Kirchner, AILA—design of an autonomous mobile dual-arm robot, in: IEEE International Conference on Robotics and Automation, Shanghai, China, 2011, pp. 5147–5153.\nhttp:\u002F\u002Fias.cs.tum.edu\u002Fresearch-areas\u002Frobots\u002Ftum-robot, Retrieved on July 22, 2011.\nChen, 2011, A direct physical interface for navigation and positioning of a robotic nursing assistant, Advanced Robotics, 25, 605, 10.1163\u002F016918611X558243\nHirose, 2001, Development of humanoid robot asimo, Honda R & D Technical Review, 13, 1\nK. Kaneko, F. Kanehiro, S. Kajita, K. Yokoyama, K. Akachi, T. Kawasaki, S. Ota, T. Isozumi, Design of prototype humanoid robotics platform for hrp, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, vol. 3, 2002, pp. 2431–2436.\nJ.K. Lee, B.S. Park, H.J. Lee, K. Kim, H.D. Kim, Development of a control system for master-slave operation, in: International Conference on Control, Automation and Systems, Oct. 2010.\nS. Han, J. Choi, K. Son, M. Lee, J. Lee, M. Lee, A study on feature-based visual servoing control of eight axes-dual arm robot by utilizing redundant feature, in: IEEE International Conference on Robotics and Automation, vol. 3, 2001, pp. 2622–2627.\nY. Kim, S. Fan, S. Han, H. Go, Image-based visual feedback control of a dual-arm robot, in: IEEE International Symposium on Industrial Electronics, vol. 3, 2001, pp. 1603–1608.\nW.-S. Lee, S.-B. Oh, D.-J. Cha, J.-B. Lee, S.-H. Han, D.-J. Park, A study on robust feedback control for dual-arm robot system, in: International Conference on Control, Automation and Systems, Oct. 2007, pp. 2299–2303.\nLi, 2010, Design for a dual-arm space robot, vol. 524, 191\nT. Mukai, S. Hirano, H. Nakashima, Y. Kato, Y. Sakaida, S. Guo, S. Hosoe, Development of a nursing-care assistant robot riba that can lift a human in its arms, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, Oct. 2010, pp. 5996–6001.\nMurray, 1994\nChiacchio, 1998\nBicchi, 2000, Hands for dexterous manipulation and robust grasping: a difficult road toward simplicity, IEEE Transactions on Robotics and Automation, 16, 652, 10.1109\u002F70.897777\nBicchi, 2001, Robotic grasping and manipulation, vol. 270, 55\n1985\nA. Okamura, N. Smaby, M. Cutkosky, An overview of dexterous manipulation, in: IEEE International Conference on Robotics and Automation, vol. 1, 2000, pp. 255–262.\nA. Bicchi, V. Kumar, Robotic grasping and contact: a review, in: IEEE International Conference on Robotics and Automation, vol. 1, 2000, pp. 348–353.\nWimböck, 2012, Comparison of object-level grasp controllers for dynamic dexterous manipulation, The International Journal of Robotics Research, 31, 3, 10.1177\u002F0278364911416526\nShimoga, 1996, Robot grasp synthesis algorithms: a survey, The International Journal of Robotics Research, 15, 230, 10.1177\u002F027836499601500302\nS.F.F. Gibson, B. Mirtich, A survey of deformable modeling in computer graphics, Tech. Rep., 1997.\nBalkcom, 2008, Robotic origami folding, The International Journal of Robotics Research, 27, 613, 10.1177\u002F0278364908090235\nLu, 2000, Folding cartons with fixtures: a motion planning approach, IEEE Transactions on Robotics and Automation, 16, 346, 10.1109\u002F70.864227\nZhu, 2005, On adaptive synchronization control of coordinated multirobots with flexible\u002Frigid constraints, IEEE Transactions on Robotics, 21, 520, 10.1109\u002FTRO.2004.839219\nHutchinson, 1996, A tutorial on visual servo control, IEEE Transactions on Robotics and Automation, 12, 651, 10.1109\u002F70.538972\nChaumette, 2006, Visual servo control, I, basic approaches, IEEE Robotics Automation Magazine, 13, 82, 10.1109\u002FMRA.2006.250573\nChaumette, 2007, Visual servo control, II, advanced approaches, IEEE Robotics Automation Magazine, 14, 109, 10.1109\u002FMRA.2007.339609\nN. Vahrenkamp, D. Berenson, T. Asfour, J. Kuffner, R. Dillmann, Humanoid motion planning for dual-arm manipulation and re-grasping tasks, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, Oct. 2009, pp. 2464–2470.\nS. Calinon, A. Billard, Stochastic gesture production and recognition model for a humanoid robot, in: IEEE\u002FRSJ International Conference on Intelligent Robots and Systems, 2003, pp. 2769–2774.",{"EN":770},"Dual arm manipulation—A survey",{"VOID":772},"10.1016\u002Fj.robot.2012.07.005","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS092188901200108X",[775,790,803,815,827,839,851],{"id":776,"sortIndex":211,"researcher":18,"roles":777,"affiliations":778,"properties":787},"6bf9f629-184e-4c24-b047-1d84781780e0",[134],[779],{"id":18,"sortIndex":19,"affiliation":780,"properties":18},{"id":781,"createTime":782,"updateTime":782,"relativeEntities":783,"slug":18,"properties":784,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"3d4c1230-4af8-40f2-9313-4fec1b5ba4a8","2024-02-12T23:47:22.800+00:00",[],{"title":785},{"VI":786},"Centre for Autonomous Systems, School of Computer Science and Communication, Royal Institute of Technology, 10044 Stockholm, Sweden",{"title":788},{"VI":789},"Xavi Gratal",{"id":791,"sortIndex":792,"researcher":18,"roles":793,"affiliations":794,"properties":800},"91321e40-8859-4327-bf64-5d3bbe26c30f",6,[134],[795],{"id":18,"sortIndex":19,"affiliation":796,"properties":18},{"id":781,"createTime":782,"updateTime":782,"relativeEntities":797,"slug":18,"properties":798,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":799},{"VI":786},{"title":801},{"VI":802},"Danica Kragic",{"id":804,"sortIndex":446,"researcher":18,"roles":805,"affiliations":806,"properties":812},"6339855e-3f4c-44db-9b69-db0ef805a542",[134],[807],{"id":18,"sortIndex":19,"affiliation":808,"properties":18},{"id":781,"createTime":782,"updateTime":782,"relativeEntities":809,"slug":18,"properties":810,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":811},{"VI":786},{"title":813},{"VI":814},"Dimos V. Dimarogonas",{"id":816,"sortIndex":151,"researcher":18,"roles":817,"affiliations":818,"properties":824},"63b2499b-599d-4486-8252-0dbf6f847d6b",[134],[819],{"id":18,"sortIndex":19,"affiliation":820,"properties":18},{"id":781,"createTime":782,"updateTime":782,"relativeEntities":821,"slug":18,"properties":822,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":823},{"VI":786},{"title":825},{"VI":826},"Yiannis Karayiannidis",{"id":828,"sortIndex":227,"researcher":18,"roles":829,"affiliations":830,"properties":836},"73f8e23a-2524-4d92-afd4-16988ba00278",[134],[831],{"id":18,"sortIndex":19,"affiliation":832,"properties":18},{"id":781,"createTime":782,"updateTime":782,"relativeEntities":833,"slug":18,"properties":834,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":835},{"VI":786},{"title":837},{"VI":838},"Lazaros Nalpantidis",{"id":840,"sortIndex":19,"researcher":18,"roles":841,"affiliations":842,"properties":848},"ddd472aa-a1b2-421c-ab8a-7b373a09c905",[134],[843],{"id":18,"sortIndex":19,"affiliation":844,"properties":18},{"id":781,"createTime":782,"updateTime":782,"relativeEntities":845,"slug":18,"properties":846,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":847},{"VI":786},{"title":849},{"VI":850},"Christian Smith",{"id":852,"sortIndex":394,"researcher":18,"roles":853,"affiliations":854,"properties":860},"b4247c5c-0a3c-4bed-b93e-0d38a8f88f6a",[134],[855],{"id":18,"sortIndex":19,"affiliation":856,"properties":18},{"id":781,"createTime":782,"updateTime":782,"relativeEntities":857,"slug":18,"properties":858,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":859},{"VI":786},{"title":861},{"VI":862},"Peng Qi",{"url":773,"publisher":864,"properties":886},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":865,"slug":10,"properties":866,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":869,"manageAffiliations":870,"indexDatabases":871,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":867,"title":868},{"VOID":13},{"EN":15},[],[],[872,879],{"id":88,"indexDatabase":873,"url":101,"indexYears":102,"academicFieldIds":878,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":874,"label":875,"description":876,"key":98,"publicationTags":877,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":880,"url":82,"indexYears":18,"academicFieldIds":885,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":881,"label":882,"description":883,"key":78,"publicationTags":884,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":887,"pages":889},{"VOID":888},"60",{"VOID":890},"1340-1353","2012-10-01",2012,{"id":894,"createTime":895,"updateTime":896,"relativeEntities":897,"slug":898,"properties":899,"entityType":126,"verifyStatus":127,"verifyTime":896,"verifyNote":128,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":906,"fullTextUrl":18,"authors":907,"publicationType":162,"publisherRelationship":935,"citationCount":18,"citationInfo":18,"publishDate":963,"publishYear":964,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"955d53e3-8fd2-44e2-8237-1c7268e062ca","2024-01-11T10:10:50.774+00:00","2024-10-11T23:47:13.931+00:00",[],"SIFT-SURF-amp-seasons-Appearance-based-long-term-localization-in-outdoor-environments",{"references":900,"title":902,"doi":904},{"VOID":901},"Lowe, 2004, Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, 2, 91, 10.1023\u002FB:VISI.0000029664.99615.94\nY. Ke, R. Sukthankar, PCA-SIFT: A more distinctive representation for local image descriptors, in: Proc. IEEE Conf. on Computer Vision and Pattern Recognition, vol. 2, Washington, USA, 2004\nH. Bay, T. Tuytelaars, L.V. Gool, SURF: Speeded Up Robust Features, in: Proc. Ninth European Conf. on Computer Vision, Graz, Austria, 2006\nH. Bay, B. Fasel, L.V. Gool, Interactive museum guide: Fast and robust recognition of museum objects, in: Proc. Int. Workshop on Mobile Vision, Graz, Austria, 2006\nSe, 2005, Vision-based global localization and mapping for mobile robots, IEEE Transactions on Robotics, 21, 364, 10.1109\u002FTRO.2004.839228\nH. Andreasson, T. Duckett, Topological localization for mobile robots using omni-directional vision and local features, in: Proc. IAV 2004, the 5th IFAC Symposium on Intelligent Autonomous Vehicles, Lisbon, Portugal, 2004\nO. Booij, Z. Zivkovic, B. Kröse, From sensors to rooms, in: Proc. IROS Workshop From Sensors to Human Spatial Concepts, Beijing, China, 2006\nC. Valgren, T. Duckett, A. Lilienthal, Incremental spectral clustering and its application to topological mapping, in: Proc. IEEE Int. Conf. on Robotics and Automation, 2007\nW. Zhang, J. Kosecka, Localization based on building recognition, in: Workshop on Applications for Visually Impaired, IEEE Int. Conf. on Computer Vision and Pattern Recognition, vol. 3, 2005\nHe, 2006, Topological map learning from outdoor image sequences, Journal of Field Robotics, 23, 1091, 10.1002\u002Frob.20170\nC. Sagues, A. Murillo, J. Guerrero, T. Goedeme, T. Tuytelaars, L.V. Gool, Localization with omnidirectional images using the radial trifocal tensor, in: Proc. IEEE Int. Conf. on Robotics and Automation, 2006\nC. Valgren, A. Lilienthal, T. Duckett, Incremental topological mapping using omnidirectional vision, in: Proc. IEEE Int. Conf. On Intelligent Robots and Systems, 2006\nA.C. Murillo, J.J. Guerrero, C. Sagues, SURF features for efficient robot localization with omnidirectional images, in: Proc. IEEE Int. Conf. on Robotics and Automation, Rome, Italy, 2007\nD.G. Lowe, Object recognition from local scale-invariant features, in: Proc. Int. Conf. Computer Vision ICCV, 1999\nZ. Zivkovic, B. Bakker, B. Kröse, Hierarchical map building using visual landmarks and geometric constraints, in: Proc. IEEE Int. Conf. On Intelligent Robots and Systems, 2005, pp. 2480–2485\nH. Andreasson, A. Treptow, T. Duckett, Localization for mobile robots using panoramic vision, local features and particle filter, in: Proc. IEEE Int. Conf. on Robotics and Automation, Barcelona, Spain, 2005\nJ. Kosecka, F. Li, Vision based topological Markov localization, in: Proc. IEEE Int. Conf. on Robotics and Automation, vol. 2, New Orleans, USA, 2004\nH. Andreasson, T. Duckett, A. Lilienthal, Mini-SLAM: Minimalistic visual SLAM in large-scale environments based on a new interpretation of image similarity, in: Proc. IEEE Int. Conf. on Robotics and Automation, Rome, Italy, 2007\nC. Valgren, Topological mapping and localization using omnidirectional vision, Licentiate Thesis, Örebro University, 2007\nO. Booij, B. Terwijn, Z. Zivkovic, B. Kröse, Navigation using an appearance based topological map, in: Proc. IEEE Int. Conf. on Robotics and Automation, Rome, Italy, 2007\nKosecka, 2005, Global localization and relative positioning based on scale-invariant keypoints, Robotics and Autonomous Systems, 52, 27, 10.1016\u002Fj.robot.2005.03.008\nFischler, 1981, Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, 24, 381, 10.1145\u002F358669.358692\nP.D. Sampson, Fitting conic sections to ‘very scattered’ data: An iterative refinement of the Bookstein algorithm 18 (1) (1982) 97–108",{"EN":903},"SIFT, SURF & seasons: Appearance-based long-term localization in outdoor environments",{"VOID":905},"10.1016\u002Fj.robot.2009.09.010","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0921889009001493",[908,923],{"id":909,"sortIndex":19,"researcher":18,"roles":910,"affiliations":911,"properties":920},"bc5a72f0-aeb6-48f7-b282-84a14b2791c5",[134],[912],{"id":18,"sortIndex":19,"affiliation":913,"properties":18},{"id":914,"createTime":915,"updateTime":915,"relativeEntities":916,"slug":18,"properties":917,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"8f05df1f-d56c-4a24-b37e-1d220dd2921d","2024-01-11T10:10:50.781+00:00",[],{"title":918},{"VI":919},"AASS Research Centre, Department of Computer Science, Örebro University, SE-70182 Örebro, Sweden",{"title":921},{"VI":922},"Christoffer Valgren",{"id":924,"sortIndex":151,"researcher":18,"roles":925,"affiliations":926,"properties":932},"06a13bf8-f7d8-47b4-ad67-a9771964e79d",[134],[927],{"id":18,"sortIndex":19,"affiliation":928,"properties":18},{"id":914,"createTime":915,"updateTime":915,"relativeEntities":929,"slug":18,"properties":930,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":931},{"VI":919},{"title":933},{"VI":934},"Achim J. Lilienthal",{"url":906,"publisher":936,"properties":958},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":937,"slug":10,"properties":938,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":941,"manageAffiliations":942,"indexDatabases":943,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":939,"title":940},{"VOID":13},{"EN":15},[],[],[944,951],{"id":88,"indexDatabase":945,"url":101,"indexYears":102,"academicFieldIds":950,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":946,"label":947,"description":948,"key":98,"publicationTags":949,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":952,"url":82,"indexYears":18,"academicFieldIds":957,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":953,"label":954,"description":955,"key":78,"publicationTags":956,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":959,"pages":961},{"VOID":960},"58",{"VOID":962},"149-156","2010-02-01",2010,{"id":966,"createTime":967,"updateTime":968,"relativeEntities":969,"slug":970,"properties":971,"entityType":126,"verifyStatus":127,"verifyTime":968,"verifyNote":128,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":978,"fullTextUrl":18,"authors":979,"publicationType":162,"publisherRelationship":1007,"citationCount":18,"citationInfo":18,"publishDate":1033,"publishYear":964,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"4552d1cd-40df-4600-b19d-6afe28a800b6","2023-12-24T13:33:47.140+00:00","2025-02-20T23:46:40.444+00:00",[],"Optimal-cooperative-collision-avoidance-between-multiple-robots-based-on-Bernstein-B%C3%A9zier-curves",{"references":972,"title":974,"doi":976},{"VOID":973},"Arkin, 1992, Cooperation without communication: Multiagent schema-based robot navigation, Journal of Robotic Systems, 9, 351, 10.1002\u002Frob.4620090304\nSugihara, 1996, Distributed algorithms for formation of geometric patterns with many mobile robots, Journal of Robotic Systems, 13, 127, 10.1002\u002F(SICI)1097-4563(199603)13:3\u003C127::AID-ROB1>3.0.CO;2-U\nShan, 1996, Space reasoning from action observation for motion planning of multiple robots: Mutal collision avoidance in a narrow passage, Journal of Robot Society Japan, 14, 1003, 10.7210\u002Fjrsj.14.1003\nKim, 1998, A neuro-fuzzy controller for mobile robot navigation and multirobot convoying, IEEE Transaction on Systems, Man, and Cybernetics — Part B, 28, 829, 10.1109\u002F3477.735392\nKubota, 1999, Adaptive behavior of mobile robot based on sensory network, JSME Transactions, 65, 1006, 10.1299\u002Fkikaic.65.1006\nJolly, 2009, A Bezier curve based path planning in a multi-agent robot soccer system without violating the acceleration limits, Robotics and Autonomous Systems, 57, 23, 10.1016\u002Fj.robot.2008.03.009\nFujimori, 1999, Adaptive navigation of mobile robots with obsticle avoidance, IEEE Transactions on Robotics and Automation, 13, 596, 10.1109\u002F70.611330\nKolmanovsky, 1995, Developments in nonholonomic control problems, IEEE Control Systems, 15, 20, 10.1109\u002F37.476384\nSarkar, 1994, Control of mechanical systems with rolling constraints: Application to dynamic control of mobile robot, The International Journal of Robotic Research, 13, 55, 10.1177\u002F027836499401300104\nOriolo, 2002, WMR control via dynamic feedback linearization: Design, implementation, and experimental validation, IEEE Transactions on Control Systems Technology, 10, 835, 10.1109\u002FTCST.2002.804116\nA. Balluchi, A. Bicchi, A. Balestrino, G. Casalino, Path tracking control for Dubin’s cars, in: Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Minneapolis, Minnesota, 1996, pp. 3123–3128\nY. Kanayama, Y. Kimura, F. Miyazaki, T. Noguchi, A stable tracking control method for an autonomous mobile robot, in: Proceedings of the 1990 IEEE International Conference on Robotics and Automation, Cincinnati, OH, vol. 1, 1990, pp. 384–389\nSamson, 1993, Time-varying feedback stabilization of car like wheeled mobile robot, International Journal of Robotics Research, 12, 55, 10.1177\u002F027836499301200104\nPourboghrat, 2002, Adaptive control of dynamic mobile robots with nonholonomic constraints, Computers and Electrical Engineering, 28, 241, 10.1016\u002FS0045-7906(00)00053-7\nRaimondi, 2005, A new robust fuzzy dynamics controller for autonomous vehicles with nonholonomic constraints, Robotics and Autonomous Systems, 52, 115, 10.1016\u002Fj.robot.2005.04.006\nLee, 2001, Tracking control of unicycle-modeled mobile robots using a saturation feedback controller, IEEE Transactions on Control Systems Technology, 9, 305, 10.1109\u002F87.911382\nA. Ollero, O. Amidi, Predictive path tracking of mobile robots, Application to the CMU Navlab, in: Proceedings of 5th International Conference on Advanced Robotics, Robots in Unstructured Environments, ICAR ’91, Pisa, Italy, vol. 2,1991, pp. 1081–1086\nNormey-Rico, 1999, A Smith-predictor-based generalised predictive controller for mobile robot path-tracking, Control Engineering Practice, 7, 729, 10.1016\u002FS0967-0661(99)00025-8\nF. Kühne, J.M. Gomes da Silva Jr., W.F. Lages, Model predictive control of a mobile robot using linearization, in: Mechatronics and Robotics 2004, Aachen, Germany, 2004\nGu, 2002, Neural predictive control for a car-like mobile robot, Robotics and Autonomous Systems, 39, 73, 10.1016\u002FS0921-8890(02)00172-0\nE.W. Weisstein, Bézier curve, in: MathWorld — A Wolfram Web Resource, 2009. Available at: http:\u002F\u002Fmathworld.wolfram.com\u002FBezierCurve.html\nKlančar, 2007, Tracking-error model-based predictive control for mobile robots in real time, Robotics and Autonomous Systems, 55, 460, 10.1016\u002Fj.robot.2007.01.002\nBrockett, 1983, Asymptotic stability and feedback stabilization, 181\nG. Klančar, Optimal collision avoidance experiments, 2009. Available at: http:\u002F\u002Fmsc.fe.uni-lj.si\u002FPublicWWW\u002FKlancar\u002FColisionAvoidance.html",{"EN":975},"Optimal cooperative collision avoidance between multiple robots based on Bernstein–Bézier curves",{"VOID":977},"10.1016\u002Fj.robot.2009.09.003","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0921889009001419",[980,995],{"id":981,"sortIndex":19,"researcher":18,"roles":982,"affiliations":983,"properties":992},"416a4b64-53f5-4c30-ade0-f6315562bdef",[134],[984],{"id":18,"sortIndex":19,"affiliation":985,"properties":18},{"id":986,"createTime":987,"updateTime":987,"relativeEntities":988,"slug":18,"properties":989,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"5cecda73-68cc-43df-b76b-ea914271c555","2023-12-06T10:11:10.910+00:00",[],{"title":990},{"VI":991},"Laboratory of Modelling, Simulation and Control, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia",{"title":993},{"VI":994},"Igor Škrjanc",{"id":996,"sortIndex":151,"researcher":18,"roles":997,"affiliations":998,"properties":1004},"d8b932c1-3782-4177-a05f-5de1b2c37251",[134],[999],{"id":18,"sortIndex":19,"affiliation":1000,"properties":18},{"id":986,"createTime":987,"updateTime":987,"relativeEntities":1001,"slug":18,"properties":1002,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1003},{"VI":991},{"title":1005},{"VI":1006},"Gregor Klančar",{"url":978,"publisher":1008,"properties":1030},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1009,"slug":10,"properties":1010,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1013,"manageAffiliations":1014,"indexDatabases":1015,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":1011,"title":1012},{"VOID":13},{"EN":15},[],[],[1016,1023],{"id":88,"indexDatabase":1017,"url":101,"indexYears":102,"academicFieldIds":1022,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":1018,"label":1019,"description":1020,"key":98,"publicationTags":1021,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":1024,"url":82,"indexYears":18,"academicFieldIds":1029,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":1025,"label":1026,"description":1027,"key":78,"publicationTags":1028,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":1031,"pages":1032},{"VOID":960},{"VOID":359},"2010-01-01",{"id":1035,"createTime":1036,"updateTime":1037,"relativeEntities":1038,"slug":1039,"properties":1040,"entityType":126,"verifyStatus":127,"verifyTime":1037,"verifyNote":128,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1047,"fullTextUrl":18,"authors":1048,"publicationType":162,"publisherRelationship":1110,"citationCount":18,"citationInfo":18,"publishDate":1138,"publishYear":1139,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":193},"9f3bd485-3f31-4675-aa70-6d67261b9185","2024-01-25T12:18:14.631+00:00","2025-02-08T23:43:15.650+00:00",[],"Keyframe-based-monocular-SLAM-design-survey-and-future-directions",{"references":1041,"title":1043,"doi":1045},{"VOID":1042},"Cadena, 2016, Past, present, and future of simultaneous localization and mapping: toward the robust-perception age, IEEE Trans. Robot., 32, 1309, 10.1109\u002FTRO.2016.2624754\nScaramuzza, 2011, Visual odometry [tutorial], IEEE Robot. Autom. Mag., 18, 80, 10.1109\u002FMRA.2011.943233\nFuentes-Pacheco, 2012, Visual simultaneous localization and mapping: A survey, Artif. Intell. Rev., 43, 55, 10.1007\u002Fs10462-012-9365-8\nYousif, 2015, An overview to visual odometry and visual SLAM: Applications to mobile robotics, Intell. Ind. Syst., 1, 289, 10.1007\u002Fs40903-015-0032-7\nSaeedi, 2016, Multiple-Robot simultaneous localization and mapping: A Review, J. Field Robot., 33, 3, 10.1002\u002Frob.21620\nBailey, 2006, Simultaneous localization and mapping (SLAM): Part II, IEEE Robot. Autom. Mag., 13, 108, 10.1109\u002FMRA.2006.1678144\nLucas, 1981, An Iterative Image Registration Technique with an Application to Stereo Vision, 674\nBaker, 2004, Lucas-Kanade 20 years on: A unifying framework, Int. J. Comput. Vis., 56, 221, 10.1023\u002FB:VISI.0000011205.11775.fd\nKrig, 2014, Interest point detector and feature descriptor survey, 217\nBeaudet, 1978, Rotationally invariant image operators\nC. Harris, M. Stephens, A combined corner and edge detector, In: Proc. of Fourth Alvey Vision Conference, pp. 147–151, 1988.\nJ. Shi, C. Tomasi, Good features to track, in: Computer Vision and Pattern Recognition, 1994. Proceedings CVPR ’94, 1994 IEEE Computer Society Conference on, 1994, pp. 593–600.\nLindeberg, 1998, Feature detection with automatic scale selection, Int. J. Comput. Vis., 30, 79, 10.1023\u002FA:1008045108935\nJ. Matas, O. Chum, M. Urban, T. Pajdla, Robust wide baseline stereo from maximally stable extremal regions, in: Proc. BMVC, 36.1–36.10. http:\u002F\u002Fdx.doi.org\u002F10.5244\u002FC.16.36.\nLowe, 2004, Distinctive image features from scale-invariant keypoints, Int. J. Comput. Vis., 60, 91, 10.1023\u002FB:VISI.0000029664.99615.94\nMair, 2010, Adaptive and generic corner detection based on the accelerated segment test\nCalonder, 2012, Brief: computing a local binary descriptor very fast, IEEE Trans. Pattern Anal. Mach. Intell., 34, 1281, 10.1109\u002FTPAMI.2011.222\nS. Leutenegger, M. Chli, R.Y. Siegwart, Brisk: Binary robust invariant scalable keypoints, Computer Vision, ICCV, 2011 IEEE International Conference on, 2011, pp. 2548–2555. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FICCV.2011.6126542.\nBay, 2008, Speeded-up robust features (SURF), Comput. Vis. Image Underst., 110, 346, 10.1016\u002Fj.cviu.2007.09.014\nLowe, 1999, Object recognition from local scale-invariant features, 1150\nN. Dalal, B. Triggs, Histograms of oriented gradients for human detection,Computer Vision and Pattern Recognition, in: 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 1, 2005, pp. 886–893. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FCVPR.2005.177.\nA. Alahi, R. Ortiz, P. Vandergheynst, Freak: Fast retina keypoint, in: Computer Vision and Pattern Recognition, CVPR, 2012 IEEE Conference on, 2012, pp. 510–517. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FCVPR.2012.6247715.\nE. Rublee, V. Rabaud, K. Konolige, G. Bradski, ORB: An efficient alternative to SIFT or SURF, in: International Conference on Computer Vision, ICCV, 2011, pp. 2564–2571.\nMoreels, 2007, Evaluation of features detectors and descriptors based on 3D objects, Int. J. Comput. Vis., 73, 263, 10.1007\u002Fs11263-006-9967-1\nJ. Hartmann, J.H. Klussendorff, E. Maehle, A comparison of feature descriptors for visual SLAM, in: Mobile Robots, ECMR, 2013 European Conference on, 2013, pp. 56–61. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FECMR.2013.6698820.\nRey-Otero, 2014, Comparing feature detectors: A bias in the repeatability criteria, and how to correct it, CoRR\nHietanen, 2016, A comparison of feature detectors and descriptors for object class matching, Neurocomputing, 10.1016\u002Fj.neucom.2015.08.106\nJ.L.C. Jérôme Martin, Experimental comparison of correlation techniques, in: IAS-4, International Conference on Intelligent Autonomous Systems, 1995.\nM. Muja, D.G. Lowe, Fast approximate nearest neighbors with automatic algorithm configuration, in: VISAPP International Conference on Computer Vision Theory and Applications, 2009, pp. 331–340.\nGalvez-López, 2012, Bags of binary words for fast place recognition in image sequences, IEEE Trans. Robot., 28, 1188, 10.1109\u002FTRO.2012.2197158\nUmeyama, 1991, Least-squares estimation of transformation parameters between two point patterns, IEEE Trans. Pattern Anal. Mach. Intell., 13, 376, 10.1109\u002F34.88573\nDavison, 2007, MonoSLAM: Real-time single camera SLAM, IEEE Trans. Pattern Anal. Mach. Intell., 29, 1052, 10.1109\u002FTPAMI.2007.1049\nLonguet-Higgins, 1981, A computer algorithm for reconstructing a scene from two projections, Lett. Nature, 293, 133, 10.1038\u002F293133a0\nTorr, 2000, MLESAC, Comput. Vis. Image Underst., 78, 138, 10.1006\u002Fcviu.1999.0832\nHartley, 2003, 655\nBoal, 2014, Topological simultaneous localization and mapping: A survey, Robotica, 32, 803, 10.1017\u002FS0263574713001070\nMur-Artal, 2015, ORB-SLAM: A Versatile and Accurate Monocular SLAM System, IEEE Trans. Robot., PP, 1\nEngel, 2014, LSD-SLAM: Large-Scale Direct Monocular SLAM, 834\nJ. Lim, J.M. Frahm, M. Pollefeys, Online environment mapping, in: Computer Vision and Pattern Recognition, CVPR, 2011 IEEE Conference on, pp. 3489–3496, 2011.\nH. Lim, J. Lim, H.J. Kim, Real-time 6-DOF monocular visual SLAM in a large-scale environment, in: Robotics and Automation, ICRA, IEEE International Conference on, 2014, pp. 1532–1539.\nFernández-Moral, 2015, 217\nKonolige, 2010, Sparse sparse bundle adjustment, 102.1\nHartley, 1997, Triangulation, Comput. Vis. Image Underst., 68, 146, 10.1006\u002Fcviu.1997.0547\nS. Hochdorfer, C. Schlegel, Towards a robust visual SLAM approach: Addressing the challenge of life-long operation, in: Advanced Robotics, 2009. ICAR 2009. International Conference on, 2009, pp. 1–6.\nCivera, 2008, Inverse depth parametrization for monocular SLAM, IEEE Trans. Robot., 24, 932, 10.1109\u002FTRO.2008.2003276\nKummerle, 2011, G2o: A general framework for graph optimization, 3607\nTriggs, 2000, 298\nStrasdat, 2011, Double Window Optimisation for Constant Time Visual SLAM, 2352\nGarcia-Fidalgo, 2015, Vision-based topological mapping and localization methods: a survey, Robot. Auton. Syst., 64, 1, 10.1016\u002Fj.robot.2014.11.009\nS. Agarwal, K. Mierle, et al., Ceres solver, 2013.\nE. Mouragnon, M. Lhuillier, M. Dhome, F. Dekeyser, P. Sayd, Real time localization and 3D reconstruction, in: computer vision and pattern recognition, 2006 IEEE Computer Society Conference on, vol. 1, 2006. pp. 363–370. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FCVPR.2006.236.\nG. Klein, D. Murray, parallel tracking and mapping for small AR workspaces, in: 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, 2007, pp. 1–10.\nSilveira, 2008, An efficient direct approach to visual SLAM, IEEE Trans. Robot., 24, 969, 10.1109\u002FTRO.2008.2004829\nStrasdat, 2010, Scale Drift-Aware Large Scale Monocular SLAM, 10.15607\u002FRSS.2010.VI.010\nNewcombe, 2010, Live dense reconstruction with a single moving camera, 1498\nNewcombe, 2011, DTAM: dense tracking and mapping in real-time, 2320\nA. Pretto, E. Menegatti, E. Pagello, Omnidirectional dense large-scale mapping and navigation based on meaningful triangulation, in: Robotics and Automation, ICRA, 2011 IEEE International Conference on, 2011, pp. 3289–3296. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FICRA.2011.5980206.\nPirker, 2011, CD SLAM - Continuous localization and mapping in a dynamic world., 3990\nC. Pirchheim, G. Reitmayr, (2011) Homography-based planar mapping and tracking for mobile phones, in: Mixed and Augmented Reality, ISMAR, 2011 10th IEEE International Symposium on, 2011, pp. 7–36. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FISMAR.2011.6092367.\nW. Tan, H. Liu, Z. Dong, G. Zhang, H. Bao, Robust monocular SLAM in dynamic environments, in: 2013 IEEE International Symposium on Mixed and Augmented Reality, ISMAR, 2013, pp. 209–218.\nC. Pirchheim, D. Schmalstieg, G. Reitmayr, Handling pure camera rotation in keyframe-based SLAM, in: Mixed and Augmented Reality, ISMAR, 2013 IEEE International Symposium on, 2013, pp. 229–238. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FISMAR.2013.6671783.\nDong, 2014, Efficient keyframe-based real-time camera tracking, Comput. Vis. Image Underst., 118, 97, 10.1016\u002Fj.cviu.2013.08.005\nC. Forster, M. Pizzoli, D. Scaramuzza, SVO : Fast semi-direct monocular visual odometry, in: Robotics and Automation, ICRA, IEEE International Conference on, 2014.\nHerrera, 2014, DT-SLAM: Deferred triangulation for robust SLAM, 609\nG. Bourmaud, R. Megret, Robust large scale monocular visual SLAM, in: Computer Vision and Pattern Recognition, CVPR, 2015 IEEE Conference on, 2015 pp. 1638–1647. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FCVPR.2015.7298772.\nA. Concha, J. Civera, DPPTAM: Dense piecewise planar tracking and mapping from a monocular sequence, in: Intelligent Robots and Systems (IROS), 2015 IEEE\u002FRSJ International Conference on, 2015, pp. 5686–5693. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FIROS.2015.7354184.\nW.N. Greene, K. Ok, P. Lommel, N. Roy, (2016) Multi-level mapping: Real-time dense monocular SLAM, 2016, pp. 833–840. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FICRA.2016.7487213.\nH. Liu, G. Zhang, H. Bao, Robust keyframe-based monocular SLAM for augmented reality, in: International Symposium on Mixed and Augmented Reality, ISMAR, 2016.\nEngel, 2016, Direct sparse odometry, CoRR, abs\u002F1607.02565\nRosten, 2006, Machine Learning for High-speed Corner Detection, 430\nNistér, 2004, An efficient solution to the five-point relative pose problem, IEEE Trans. Pattern Anal. Mach. Intell., 26, 756, 10.1109\u002FTPAMI.2004.17\nFaugeras, 1988, Motion and structure from motion in a piecewise planar environment, Int. J. Pattern Recognit. Artif. Intell., 02, 10.1142\u002FS0218001488000285\nTomasi, 1991, Detection and Tracking of Point Features\nHall, 2015\nBenhimane, 2007, Homography-based 2D Visual Tracking and Servoing, Int. J. Robot. Res., 26, 661, 10.1177\u002F0278364907080252\nMoranna, 2006\nKneip, 2012, 696\nEngel, 2013, Semi-dense Visual Odometry for a Monocular Camera, 1449\nVogiatzis, 2011, Video-based, real-time multi-view stereo, Image Vis. Comput., 29, 434, 10.1016\u002Fj.imavis.2011.01.006\nM. Pizzoli, C. Forster, D. Scaramuzza, REMODE: Probabilistic, monocular dense reconstruction in real time, in: IEEE International Conference on Robotics and Automation, ICRA, 2014.\nLepetit, 2009, EPnP: An Accurate O(n) Solution to the PnP Problem, Int. J. Comput. Vis., 81, 155, 10.1007\u002Fs11263-008-0152-6\nGlover, 2012, OpenFABMAP: An open source toolbox for appearance-based loop closure detection, 4730\nZ. Dong, G. Zhang, J. Jia, H. Bao, Keyframe-based real-time camera tracking, in: 2009 IEEE 12th International Conference on Computer Vision, 2009, pp. 1538–1545. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FICCV.2009.5459273.\nPirker, 2010, Histogram of oriented cameras - a new descriptor for visual SLAM in dynamic environments, 76.1\nBentley, 1975, Multidimensional Binary Search Trees Used for Associative Searching, Commun. ACM, 18, 509, 10.1145\u002F361002.361007\nWagner, 2010, Real-time detection and tracking for augmented reality on mobile phones, IEEE Trans. Vis. Comput. Graphics, 16, 355, 10.1109\u002FTVCG.2009.99\nPradeep, 2013, Monofusion: real-time 3D reconstruction of small scenes with a single web camera, 83\nCurless, 1996, A volumetric method for building complex models from range images, 303\nEngel, 2016, A photometrically calibrated benchmark for monocular visual odometry, CoRR\nJ. Engel, J. Stuckler, D. Cremers, Large-scale direct SLAM with stereo cameras, Intelligent Robots and Systems, IROS, in: 2015 IEEE\u002FRSJ International Conference on,2015, pp. 1935–1942. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FIROS.2015.7353631.\nBista, 2016, Appearance-Based indoor navigation by ibvs using line segments, IEEE Robot. Autom. Lett., 1, 423, 10.1109\u002FLRA.2016.2521907\nZhang, 2011, Hand-Held monocular SLAM based on line segments, 7\nDubé, 2016, SegMatch: segment based loop-closure for 3D point clouds, CoRR\nKlein, 2008, Improving the Agility of Keyframe-Based {SLAM}, 802\nB. Micusik, H. Wildenauer, Descriptor free visual indoor localization with line segments, in: 2015 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2015, pp. 3165–3173. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FCVPR.2015.7298936.\nVakhitov, 2016, 583\nVerhagen, 2014, Scale-invariant line descriptors for wide baseline matching, 493\nYammine, 2014, Novel similarity-invariant line descriptor and matching algorithm for global motion estimation, IEEE Trans. Circuits Syst. Video Technol., 24, 1323, 10.1109\u002FTCSVT.2014.2302874\nA. Concha, J. Civera, (2014) Using superpixels in monocular SLAM, in: 2014 IEEE International Conference on Robotics and Automation, ICRA, 2014, pp. 65–372. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FICRA.2014.6906883.\nMartinez-Carranza, 2010, Unifying planar and point mapping in monocular SLAM, 43.1\nGálvez-López, 2015, Real-time monocular object SLAM, CoRR\nE. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos, P. Fua, F. Moreno-Noguer, Discriminative learning of deep convolutional feature point descriptors, in: Proceedings of the International Conference on Computer Vision, ICCV, 2015.\nY. Verdie, K.M. Yi, P. Fua, V. Lepetit, TILDE: A temporally invariant learned detector, in: 2015 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2015, pp. 5279–5288.\nX. Han, T. Leung, Y. Jia, R. Sukthankar, A.C. Berg, MatchNet: Unifying feature and metric learning for patch-based matching, in: 2015 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2015, pp. 3279–3286. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FCVPR.2015.7298948.\nS. Zagoruyko, N. Komodakis, Learning to compare image patches via convolutional neural networks, in: 2015 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2015, pp. 4353–4361. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FCVPR.2015.7299064.\nK.M. Yi, Y. Verdie, P. Fua, V. Lepetit, Learning to assign orientations to feature points, in: Proceedings of the Computer Vision and Pattern Recognition, 2016.\nPillai, 2015, Monocular SLAM supported object recognition, CoRR, abs\u002F1506.01732\nKundu, 2014, Joint semantic segmentation and 3D reconstruction from monocular video, 8694, 703\nN. Fioraio, L.D. Stefano, Joint detection, tracking and mapping by semantic bundle adjustment, in: Computer Vision and Pattern Recognition, CVPR, 2013 IEEE Conference on, 2013, pp. 1538–1545. http:\u002F\u002Fdx.doi.org\u002F10.1109\u002FCVPR.2013.202.\nS. Savarese, Y.-W. Chao, M. Bagra, S.Y. Bao, Semantic structure from motion with points, regions, and objects, in: 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 00, 2012, pp. 2703–2710.\nYang, 2016, Pop-up SLAM: Semantic monocular plane SLAM for low-texture environments",{"EN":1044},"Keyframe-based monocular SLAM: design, survey, and future directions",{"VOID":1046},"10.1016\u002Fj.robot.2017.09.010","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0921889017300647",[1049,1074,1086,1098],{"id":1050,"sortIndex":19,"researcher":18,"roles":1051,"affiliations":1052,"properties":1071},"a99fb44c-9079-4062-ba2e-bcd4ae0e5e75",[134],[1053,1061],{"id":18,"sortIndex":19,"affiliation":1054,"properties":18},{"id":1055,"createTime":1056,"updateTime":1056,"relativeEntities":1057,"slug":18,"properties":1058,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"7ccc534a-61fc-46fa-b40b-4e541854b358","2024-01-25T12:18:14.661+00:00",[],{"title":1059},{"VI":1060},"Vision and Robotics Lab, Mechanical Engineering Department, American University of Beirut, Beirut, Lebanon",{"id":1062,"sortIndex":151,"affiliation":1063,"properties":1070},"90801b93-09cd-4621-adb5-c21b95fc7c8e",{"id":1064,"createTime":1065,"updateTime":1065,"relativeEntities":1066,"slug":18,"properties":1067,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"9af5cc77-432a-4944-ae9a-bdf06548f81d","2024-01-25T12:18:14.649+00:00",[],{"title":1068},{"VI":1069},"Systems Design Department, University of Waterloo, Waterloo, Ont., Canada",{},{"title":1072},{"VI":1073},"Georges Younes",{"id":1075,"sortIndex":227,"researcher":18,"roles":1076,"affiliations":1077,"properties":1083},"b5ecebf9-13a9-4418-97d4-b6b54420ebab",[134],[1078],{"id":18,"sortIndex":19,"affiliation":1079,"properties":18},{"id":1055,"createTime":1056,"updateTime":1056,"relativeEntities":1080,"slug":18,"properties":1081,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1082},{"VI":1060},{"title":1084},{"VI":1085},"Elie Shammas",{"id":1087,"sortIndex":151,"researcher":18,"roles":1088,"affiliations":1089,"properties":1095},"9eb0147f-fadd-41b5-aa8c-d2681a4d28e3",[134],[1090],{"id":18,"sortIndex":19,"affiliation":1091,"properties":18},{"id":1055,"createTime":1056,"updateTime":1056,"relativeEntities":1092,"slug":18,"properties":1093,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1094},{"VI":1060},{"title":1096},{"VI":1097},"Daniel Asmar",{"id":1099,"sortIndex":211,"researcher":18,"roles":1100,"affiliations":1101,"properties":1107},"1bc53cd8-3707-422a-a8ab-797c6a65f7c2",[134],[1102],{"id":18,"sortIndex":19,"affiliation":1103,"properties":18},{"id":1064,"createTime":1065,"updateTime":1065,"relativeEntities":1104,"slug":18,"properties":1105,"entityType":62,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1106},{"VI":1069},{"title":1108},{"VI":1109},"John Zelek",{"url":1047,"publisher":1111,"properties":1133},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1112,"slug":10,"properties":1113,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1116,"manageAffiliations":1117,"indexDatabases":1118,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":1114,"title":1115},{"VOID":13},{"EN":15},[],[],[1119,1126],{"id":88,"indexDatabase":1120,"url":101,"indexYears":102,"academicFieldIds":1125,"indexDatabaseRanking":108},{"id":90,"createTime":91,"updateTime":92,"relativeEntities":1121,"label":1122,"description":1123,"key":98,"publicationTags":1124,"standard":18},[],{"EN":95,"VI":95},{"EN":95,"VI":97},[100],[104,105,106,107],{"id":67,"indexDatabase":1127,"url":82,"indexYears":18,"academicFieldIds":1132,"indexDatabaseRanking":18},{"id":69,"createTime":70,"updateTime":71,"relativeEntities":1128,"label":1129,"description":1130,"key":78,"publicationTags":1131,"standard":18},[],{"EN":74,"VI":74},{"VI":76,"EN":77},[80,81],[84,85,86],{"volume":1134,"pages":1136},{"VOID":1135},"98",{"VOID":1137},"67-88","2017-12-01",2017]