Learning the natural grasping component of an unknown object

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2007, Pages 2957-2962

  El Khoury, Sahar ^a   Sahbani, Anis ^a   Perdereau, Veronique ^a  

^a SORBONNE UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT ROBOTS; ROBOTICS; THREE DIMENSIONAL;

3-D MODELING; INTERNATIONAL CONFERENCES; SINGLE PARTS; UNKNOWN OBJECTS;

INTELLIGENT SYSTEMS;

EID: 51349137975     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399052     Document Type: Conference Paper

References (21)

1. I, Biederman, Recognition-by-Components: A Theory of Human Image Understanding, Psychological Review, 1987, vol. 94, pp 115-147.
2. C. Michel, C. Rimond, V. Perdereau and M. Drouin, A robotic grasping planner based on the natural grasping axis, Proceedings of the International Conference on Intelligent Manipulation and Grasping, Genoa, Italy, 2004.
3. E. Lopez-Damian, D. Sidobre and R. Alami, Grasp planning for non-convex objects, 36th International Symposium on Robotics, ISR, Tokyo, Japan, 2005.
4. J.M Lien and N. Amato, Approximate convex decomposition, technical report, TR03-001, PARASOL LAB, Texas A&M University, 2003.
5. A.T. Miller, S. Knoop, H.I. Chritensen and P.K. Allen, Automatic grasp planning using shape primitives, Proc. IEEE International Conference on Robotics and Automation, Taipei, Taiwan, 2003.
6. N.S. Pollard, Closure and quality equivalence for efficient synthesis of grasps from examples, International Journal of Robotics Research, 2004, vol. 23 , pp 595-614.
7. Ch. Borst, M. Fisher and G. Hirzinger, A fast and robust grasp planner for arbitrary 3D objects, Proc. IEEE International Conference on Robotics and Automation, Detroit, Michigan, 1999
8. M. Fischer, P. Van der Smagt and G. Hirzinger, Learning techniques in a dataglove based telemanipulation system for the DLR Hand, Proc. IEEE International Conference on Robotics and Automation, 1998.
9. S. Ekvall and D. Kragic, Interactive grasp learning based on humain demonstration, IEEE/RSJ International Conference on Robotics and Automation, New Orleans, USA, 2004.
10. A.H. Barr, Superquadrics and angle-perserving transformations, IEEE Comput. Graphics Applicat., 1981, vol. 1, pp 11-23.
11. A.P. Pentland, Perceptual organization and the representation of natural form, Artif. Intel., 1986, vol. 28, no. 3, pp 293-331.
12. Y. Zhang, A. Koschan and M. Abidi, Superquadrics based 3D objects representation of automotive parts utilizing part decomposition, Proc. of SPIE 6th International Conference on Quality Control by Artificial Vision, 2003, Vol. 5132, pp 241-251, Gatinburg.
13. B.K.P. Horn, Robot Vision, Cambridge, MA:M.I.T. Press, 1986.
14. C. Lin and M. Perry, Shape description using surface triangulation, conf. Computer Vision: Representation and Control, 1982, pp 38-43.
15. F. Solina and R. Bajcsy, Recovery of parametric models from range images: the case of superquadrics with global deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, vol. 12(2), pp 131-147.
16. K. Madsen, H. Nielsen and O. Tingleff, Methods for non-linear least squares problems, Technical University of Denmark, 2004.
17. P. Shilane, P. Min, M.Kazhdan and T. Funkhouser, The princeton shape benchmark, Proc. of Shape Modelling International, Genova, Italy, 2004.
18. D.Y. Chen, X.P. Tian, Y.T. Shen and M. Ouhyoung, On Visual Similarity Based 3D Model Retrieval, Computer Graphics Forum (EUROGRAPHICS'03), Vol. 22, No. 3, pp. 223-232, Sept. 2003.
19. CM. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995.
20. T. Shin-ichi, Living with robots, Nipponia, 2006.
21. P.L. George and H. Borouchaki, Triangulation de Delaunay et Mail-lage: Applications aux Elements Finis, Hermes, Paris, 1997.