A new strategy combining empirical and analytical approaches for grasping unknown 3D objects

Robotics and Autonomous Systems

Volumn 58, Issue 5, 2010, Pages 497-507

  El Khoury, S ^a   Sahbani, A ^a  

^a SORBONNE UNIVERSITÉ   (France)

Author keywords

Force closure; Grasp planning; Learning by imitation

Indexed keywords

3D OBJECT; 3D UNKNOWN OBJECT; ANALYTICAL APPROACH; FORCE-CLOSURE GRASP; HAND KINEMATICS; LEARNING BY IMITATION; NEW STRATEGY; NOVEL STRATEGIES; SUFFICIENT CONDITIONS;

THREE DIMENSIONAL;

EID: 77950300880     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.robot.2010.01.008     Document Type: Article

References (56)

1. Howard W.S., and Kumar V. On the stability of grasped objects. IEEE Transactions on Robotics and Automation 12 6 (1996) 904917
2. V.D. Nguyen, Constructing stable grasps in 3D, in: Proc. IEEE International Conference on Robotics and Automation, 1987, pp. 234-239.
3. Bicchi A. On the closure properties of robotic grasping. International Journal of Robotics Research 14 4 (1995) 319-334
4. J. Ponce, S. Sullivan, J.D. Boissonnat, J.P. Merlet, On characterizing and computing three- and four-finger force-closure grasps of polyhedral objects, in: Proc. of Int. Conf. on Robotics and Automation, 1993, pp. 821-827.
5. Liu Y.H. Qualitative test and force optimization of 3-D frictional form closure grasps using linear programming. IEEE Transactions on Robotics and Automation 15 1 (1999)
6. D. Ding, Y.H. Liu, S. Wang, Computing 3D optimal form-closure grasps, in: Proc. IEEE International Conference on Robotics and Automation, 2000.
7. Li J.W., Liu H., and Cai H.G. On computing three-finger force-closure grasps of 2D and 3D objects. IEEE Transactions on Robotics and Automation 19 1 (2003)
8. D. Ding, Y.H. Liu, S. Wang, On computing in mobilizing grasps of 3-D curved objects, in: Proc. IEEE Int. Symp. on Computational Intelligence in Robotics and Automation, 2001, pp. 11-16.
9. Mirtich B., and Canny J. Easily computable optimum grasps in 2D and 3D. Proceedings of IEEE International Conference on Robotics and Automation vol. 1 (1994) 739-747
10. Zhu X., and Wang J. Synthesis of force-closure grasps on 3D objects based on the Q distance. IEEE Transactions on Robotics and Automation 19 4 (2003)
11. X. Zhu, H. Ding, Planning force-closure grasps on 3-D objects, in: Proceedings of IEEE International Conference on Robotics and Automation, 2004.
12. M. Fischer, G. Hirzinger, Fast planning of precision grasps for 3D objects, in: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1997, p. 120126.
13. Ch. Borst, M. Fischer, G. Hirzinger, Grasping the dice by dicing the grasp, in: International Conference on Intelligent Robots and Systems, 2003.
14. A.T. Miller, S. Knoop, P.K. Allen, H.I. Christensen, Automatic grasp planning using shape primitives, in: Proc. IEEE International Conference on Robotics and Automation, 2003.
15. Li Z., and Sastry S.S. Task-oriented optimal grasping by multifingered robot hands. IEEE Journal of Robotics and Automation 4 1 (1988)
16. N.S. Pollard, Parallel algorithms for synthesis of whole-hand grasps, in: Proceedings of IEEE International Conference on Robotics and Automation, 1997.
17. Ch. Borst, M. Fischer, G. Hirzinger, Grasp planning: How to choose a suitable task wrench space, in: Proceedings of IEEE International Conference on Robotics and Automation, 2004.
18. M. Prats, P.J. Sanz, A.P. del Pobil, Task-oriented grasping using hand preshapes and task frames, in: Proceedings of IEEE International Conference on Robotics and Automation, 2007.
19. R. Haschke, J.J. Steil, I. Steuwer, H. Ritter, Task-oriented quality measures for dexterous grasping, in: Proceedings IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA, 2005, pp. 689-694.
20. M. Fischer, P. Van der Smagt, G. Hirzinger, Learning techniques in a dataglove based telemanipulation system for the DLR hand, in: Proc. IEEE International Conference on Robotics and Automation, 1998.
21. S. Ekvall, D. Kragic, Interactive grasp learning based on human demonstration, in: IEEE/RSJ International Conference on Robotics and Automation, New Orleans, USA, 2004.
22. F. Kyota, T. Watabe, S. Saito, M. Nakajima, Detection and evaluation of grasping positions for autonomous agents, in: International Conference on Cyberworlds, 2005, pp. 453-460.
23. J. Aleotti, S. Caselli, Programming task-oriented grasps by demonstration in virtual reality, in: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, WS on Grasp and Task Learning by Imitation, 2008.
24. M. Hueser, T. Baier, J. Zhang, Learning of demonstrated grasping skills by stereoscopic tracking of human hand configuration, in: Proc. IEEE International Conference on Robotics and Automation, 2006.
25. J. Romero, H. Kjellstrm, D. Kragic, Human-to-robot mapping of grasps, in: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, WS on Grasp and Task Learning by Imitation, 2008.
26. Oztop E., and Arbib M.A. Schema design and implementation of the grasp-related mirror neuron system. Biological Cybernetics 87 2 (2002) 116-140
27. R. Pelossof, A. Miller, P. Allen, T. Jebara, An SVM learning approach to robotic grasping, in: Proceedings of IEEE International Conference on Robotics and Automation, 2004.
28. Saxena A., Driemeyer J., Kearns J., and Ng A.Y. Robotic grasping of novel objects using vision. The International Journal of Robotics Research 27 2 (2008) 157-173
29. Stark M., Lies P., Zillich M., and Schiele B. Functional object class detection based on learned affordance cues. Computer Vision Systems (2008) 435-444
30. Li Y., Fu J.L., and Pollard N. Data-driven grasp synthesis using shape matching and task-based pruning. IEEE Transactions on Visualization and Computer Graphics 13 4 (2007) 732-747
31. Biederman I. Recognition-by-components: A theory of human image understanding. Psychological Review 94 (1987) 115-147
32. S. El Khoury, A. Sahbani, V. Perdereau, Learning the natural grasping component of an unknown object, in: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, 2007, pp. 2957-2962.
33. Chen L., and Georganas N.D. An efficient and robust algorithm for 3D mesh segmentation. Multimedia Tools and Applications 29 2 (2006) 109-125
34. Gray A. The Gaussian and mean curvatures. Modern Differential Geometry of Curves and Surfaces (1993) 279-285
35. Schroeder W., Zarge J., and Lorensen W. Decimation of triangle meshes. Proc. SIGGRAPH. Computer Graphics 25 3 (1992) 65-70
36. P. Shilane, P. Min, M. Kazhdan, T. Funkhouser, The princeton shape benchmark, in: Proceedings of Shape Modelling International, 2004.
37. Chen D.Y., Tian X.P., Shen Y.T., and Ouhyoung M. On visual similarity based 3D model retrieval. EUROGRAPHICS'03. Computer Graphics Forum 22 3 (2003) 223-232
38. Bishop C.M. Neural Networks for Pattern Recognition (1995), Oxford University Press
39. N. Niparnan, A. Sudsang, Positive span of force and torque components of four-fingered three-dimensional force-closure grasps, in: Proc. IEEE International Conference on Robotics and Automation, 2007.
40. A.T. Miller, P.K. Allen, Examples of 3D grasp quality computations, in: Proc. IEEE International Conference on Robotics and Automation, 1999, pp. 1240-1246.
41. Salisbury J.K., and Roth B. Kinematic and force analysis of articulated mechanical hands. Journal of Mechanisms, Transmission, Automation in Design (ASME) 105 (1983) 35-41
42. Murray R.M., Li Z., and Sastry S.S. A Mathematical Introduction to Robotic Manipulation (1994), CRC, Orlando, FL
43. D.J. Montana, The condition for contact grasp stability, in: Proc. IEEE International Conference on Robotics and Automation, 1991, pp. 412-417.
44. Goldman A.J., and Tucker A.W. Polyhedral Convex Cones (1956), Princeton University Press
45. R. Wagner, Y. Zhuang, K. Goldberg, Fixturing faceted parts with seven modular struts, in: IEEE International Symposium on Assembly and Task Planning, USA, 1995.
46. Veblen O., and Young J.W. Projective Geometry (1910), The Athenaeum Press
47. H. Crapo, A combinatorial perspective on algebraic geometry, Colloquio Int. Sulle Teorie Combinatorie, Roma, 1973.
48. Dandurand A. The rigidity of compound spatial grid. Structural Topology 10 (1984)
49. S. El-Khoury, A. Sahbani, On computing robust n-finger force-closure grasps of 3D objects, in: IEEE International Conference on Robotics and automation, Japan, 2009.
50. Zavattieri P.D., Buscaglia G.C., and Dari E.A. Finite Element Mesh Optimization in Three Dimensions (1995)
51. J.P. Saut, Planification de mouvement pour la manipulation dextre d'objets rigides, Ph.D. Thesis, 2007.
52. J. Cortes, Motion planning algorithms for general closed-chain mechanisms, Ph.D. Thesis, 2003.
53. Atkeson C.G., Hale J.G., Pollick F., Riley M., Kotosaka S., Schaal S., Shibata T., Tevatia G., Ude A., Vijayakumar S., and Kawato M. Using humanoid robots to study human behavior. IEEE Intelligent Systems 15 4 (2000) 46-56
54. Barr A.H. Superquadrics and angle-preserving transformations. IEEE Computer Graphics and Applications 1 (1981) 11-23
55. Pentland A.P. Perceptual organization and the representation of natural form. Artificial Intelligence 28 (1986) 293-331
56. J. Aleotti, S. Caselli, Robot grasp synthesis from virtual demonstration and topology-preserving environment reconstruction, in: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007.