Autonomous navigation of an automated guided vehicle in industrial environments

Vis, 2006, Survey of research in the design and control of automated guided vehicle systems, European Journal of Operational Research, 170, 677, 10.1016/j.ejor.2004.09.020

Le-Anh, 2006, A review of design and control of automated guided vehicle systems, European Journal of Operational Research, 171, 1, 10.1016/j.ejor.2005.01.036

Qiu, 2002, Scheduling and routing algorithms for AGVs: a survey, International Journal of Production Research, 40, 745, 10.1080/00207540110091712

Wu, 2002, Deadlock avoidance in an automated guidance vehicle system using a coloured Petri net model, International Journal of Production Research, 40, 223, 10.1080/00207540110073037

Hoff, 1998, An overview of path design and dispatching methods for automated guided vehicles, Integrated Manufacturing Systems, 9, 296, 10.1108/09576069810230400

Martínez-Barberá H, Cánovas JP, Zamora M, Gómez-Skarmeta A. iFork: a flexible AGV system using topological and grid maps. In: IEEE international conference on robotics and automation, Taipei, 2003, pp. 2147–2152.

Durrant-Whyte, 2007, An autonomous straddle carrier for movement of shipping containers, IEEE Robotics and Automation Magazine, 14, 14, 10.1109/MRA.2007.901316

Weyns D, Schelfthout K, Holvoet T, Lefever T. Decentralized control of E’GV transportation systems. In: Proceedings of the 5th international conference on autonomous agents and multiagent systems (AAMAS 2005), Utrecht, Netherlands, 2005, pp. 67–74.

Wurman, 2008, Coordinating hundreds of cooperative autonomous vehicles in warehouses, AI Magazine, 29, 9

Berman, 2003, Navigation of decentralized autonomous automatic guided vehicles in material handling, IEEE Transaction on Robotics and Automation, 19, 743, 10.1109/TRA.2003.814513

Kelly, 2007, An infrastructure-free automated guided vehicle based on computer vision, IEEE Robotics and Automation Magazine, 14, 24, 10.1109/MRA.2007.901317

Martínez-Barberá, 2010, Programming multirobot applications using the ThinkingCap-II Java framework, Advanced Engineering Informatics, 24, 62, 10.1016/j.aei.2009.08.011

Kuipers, 1991, A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations, Journal of Robotics and Autonomous Systems, 8, 47, 10.1016/0921-8890(91)90014-C

Thrun S, Bücken A. Integrating grid-based and topological maps for mobile robot navigation. In: Proceedings of the AAAI 13th national conference on artificial intelligence, Portland, Oregon, 1996. p. 944–50.

de Meyer K, Lemon O, Nemhzow U. Multiple resolution mapping for efficient mobile robot navigation. In: TIMR-97 towards intelligent mobile robots. Technical report series UMCS-97-9-1, University of Manchester, 1997.

Ling Q, Wen-Jing H. Scheduling and routing algorithms for AGVs: a survey. Technical Report: CAIS-TR-99-26, Centre for Advanced Information Systems, School of Applied Science, Nanyang Technological University, Singapore; 1999.

Duckett T, Saffiotti A. Building globally consistent gridmaps from topologies. In: 6th international IFAC symposium on robot control (SYROCO), Vienna, Austria, 2000. p. 357–61.

Bruegger B, Kuhn W. Multiple topological representations. Technical Report 91-17, National Center for Geographic Information and Analysis, Santa Barbara, CA; 1991.

Lee, 1996

Moravec H, Elfes A. High resolution maps from wide angle sonar. in: IEEE international conference on robotics and automation, Washington, USA, 1985. p. 116–21.

Lim J, Cho D. Physically based sensor modelling for a sonar map in a specular environment. In: IEEE international conference on robotics and automation, 1992. p. 1714–9.

Kurz, 1996, Constructing maps for mobile robot navigation based on ultrasonic range data, IEEE Transaction on System, Man, and Cybernetics, 26, 233, 10.1109/3477.485835

Thrun, 1998, Learning metric-topological maps for indoor mobile robot navigation, Artificial Intelligence, 99, 21, 10.1016/S0004-3702(97)00078-7

Oriolo, 1998, Real-time map building and navigation for autonomous mobile robots in unknown environments, IEEE Transactions on Systems, Man and Cybernetics—Part B: Cybernetics, 3, 316, 10.1109/3477.678626

Martínez-Barberá H, Zamora M, Gómez-Skarmeta A. Navigation of a mobile robot with fuzzy segments. In: IEEE international conference on fuzzy systems, Melbourne, Australia, 2001. p. 586–9.

Nguyen V, Martinelli A, Tomatis N, Siegwart R. A comparison of line extraction algorithms using 2D laser rangefinder for indoor mobile robotics. In: IEEE/RSJ international conference on intelligent robots and systems (IROS), Edmonton, Canada, 2005. p. 1929–34.

Duda, 1973

Thrun, 2000, Robust Monte Carlo localization for mobile robots, Artificial Intelligence, 128, 99

Thrun, 2003, Robotic mapping: a survey

Hart, 1968, A formal basis for the heuristic determination of minimum cost paths, IEEE Transaction on Man Systems and Cybernetics, 4, 100, 10.1109/TSSC.1968.300136

Trobato, 1990, Differential A*: an adaptative search method illustrated with robot path planning for moving obstacles and goals and an uncertain environment, Journal of Pattern Recognition and Artificial Intelligence, 4, 245, 10.1142/S0218001490000174

Stentz, 1996, Map-based strategies for Robot navigation in unknown environments

Stentz A. The focused D* algorithm for real-time replanning. In: International joint conference on artificial intelligence, Taiwan, 1995. p. 1652–9.

Saffiotti A. Fuzzy logic in autonomous robots: behavior coordination. In: Proceedings of the 6th IEEE international conference on fuzzy systems, 1997. p. 573–8.

Jeffrey W. Vector pursuit path tracking for autonomous ground vehicles. PhD dissertation, University of Florida, USA; 2000.

Wit, 2004, Autonomous ground vehicle path tracking, Journal of Robotic Systems, 21, 439, 10.1002/rob.20031

Berman, 2009, Evaluation of automatic guided vehicle systems, Robotics and Computer-Integrated Manufacturing, 25, 522, 10.1016/j.rcim.2008.02.009