Demonstration-based learning and control for automatic grasping

Springer Science and Business Media LLC - Tập 2 Số 1 - Trang 23-30 - 2009
Johan Tegin1, Staffan Ekvall2, Danica Kragić2, Jan Wikander1, Boyko Iliev3
1Mechatronics Laboratory, KTH Machine Design, Stockholm, Sweden
2Computational Vision and Active Perception Laboratory, KTH NADA/CVAP, Stockholm, Sweden
3Center for Applied Autonomous Sensors Systems, Örebro University, Örebro, Sweden

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Tài liệu tham khảo

Aleotti J, Caselli S, Reggiani M (2004) Leveraging on a virtual environment for robot programming by demonstration. In: Robotics and autonomous systems, special issue: robot learning from demonstration, vol 47, pp 153–161

Bicchi A, Kumar V (2000) Robotic grasping and contact: a review. In: Proceedings of the IEEE international conference on robotics and automation, ICRA’00, pp 348–353

Bley F, Schmirgel V, Kraiss K (2006) Mobile manipulation based on generic object knowledge. In: IEEE international symposium on robot and human interactive communication, RO-MAN’06

Borst C, Fischer M, Haidacher S, Liu H, Hirzinger G (2003) DLR hand II: experiments and experiences with an antropomorphic hand. In: IEEE international conference on robotics and automation, vol 1, pp 702–707

Cutkosky M (1989) On grasp choice, grasp models and the desing of hands for manufacturing tasks. IEEE Trans Robot Autom 5(3): 269–279

Ding D, Liu YH, Wang S (2000) Computing 3-d optimal formclosure grasps. In: Proceedings of the 2000 IEEE international conference on robotics and automation, pp 3573–3578

Ekvall S, Kragic D (2005) Grasp recognition for programming by demonstration. In: IEEE/RSJ IROS

Ekvall S, Kragic D (2005) Receptive field cooccurrence histograms for object detection. In: IEEE/RSJ IROS

Ekvall S, Kragic D (2006) Learning task models from multiple human demonstration. In: IEEE international symposium on robot and human interactive communication, RO-MAN’06

Ekvall S, Kragic D, Hoffmann F (2005) Object recognition and pose estimation using color cooccurrence histograms and geometric modeling. Image Vis Comput 23: 943–955

Ferretti G, Magnani G, Rocco P, Viganò L (2006) Modelling and simulation of a gripper with dymola. Mathematical and Computer Modelling of Dynamical Systems

Friedrich H, Dillmann R, Rogalla O (1999) Interactive robot programming based on human demonstration and advice. In: Christensen H et al (eds) Sensor based intelligent robots, LNAI1724, pp 96–119

Howe RD (1994) Tactile sensing and control of robotic manipulation. Adv Robot 8(3): 245–261

Iberall T (1997) Human prehension and dextrous robot hands. Int J Robot Res 16(3)

Kragic D, Crinier S, Brunn D, Christensen HI (2003) Vision and tactile sensing for real world tasks. In: Proceedings IEEE international conference on robotics and automation, ICRA’03, vol 1, pp 1545–1550

Lee MH, Nicholls HR (1999) Tactile sensing for mechatronics—a state of the art survey. Mechatronics 9(1): 1–31

Massimino M, Sheridan T (1989) Variable force and visual feedback effects on teleoperator man/machine performance. In: Proceedings of NASA conference on space telerobotics

Miller AT, Allen P (2000) Graspit!: a versatile simulator for grasping analysis. In: Proceedings of the of the 2000 ASME international mechanical engineering congress and exposition

Miller AT, Knoop S, Allen PK, Christensen HI (2003) Automatic grasp planning using shape primitives. In: Proceedings of the IEEE international conference on robotics and automation, pp 1824–1829

Morales A, Chinellato E, Fagg AH, del Pobil A (2004) Using experience for assessing grasp reliability. Int J Hum Robot 1(4): 671–691

Namiki A, Imai Y, Ishikawa M, Kaneko M (2003) Development of a high-speed multifingered hand system and its application to catching. In: IEEE/RSJ international conference on intelligent robots and systems, vol 3, pp 2666–2671

Napier J (1956) The prehensile movements of the human hand. J Bone Joint Surg 38(4): 902–913

Platt RJ (2006) Learning and generalizing control-based grasping and manipulation skills. PhD thesis, University of Massachusetts

Platt R Jr, Fagg AH, Grupen RA (2003) Extending fingertip grasping to whole body grasping. In: Proceedings of the international conference on robotics and automation

Pollard NS (1994) Parallel methods for synthesizing whole-hand grasps from generalized prototypes. PhD thesis, Massachusetts Institute of Technology

Pollard NS (2004) Closure and quality equivalence for efficient synthesis of grasps from examples. Int J Robot Res 23(6): 595–613

Skoglund A, Iliev B, Palm R (2008) A hand state approach to imitation with a next-state-planner for industrial manipulators. In: International conference on cognitive systems, Karlsruhe, Germany

Tegin J, Wikander J (2004) Tactile sensing in intelligent robotic manipulation—a review. Ind Robot 32(1): 64–70

Tegin J, Wikander J (2006) A framework for grasp simulation and control in domestic environments. In: IFAC-Symposium on mechatronic systems, Heidelberg, Germany

Townsend W (2000) The BarrettHand grasper—programmably flexible part handling and assembly. Ind Robot Int J 27(3): 181–188

Volpe R, Khosla P (1993) A theorethical and experimental investigation of explicit force control strategies for manipulators. IEEE Trans Autom Control 38(11): 1634–1650