Learning of grasp behaviors for an artificial hand by time clustering and takagi-sugeno modeling

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2006, Pages 291-298

  Palm, Rainer ^a,b   Iliev, Boyko ^b  

^a IEEE   (Germany)

^b ÖREBRO UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL HAND; DATA GLOVE; FUZZY MODELING; GRASP BEHAVIORS; TAKAGI SUGENO (TS) MODELING;

ANTHROPOMORPHIC ROBOTS; COMPUTER SIMULATION; END EFFECTORS; FUZZY CLUSTERING;

LEARNING SYSTEMS;

EID: 34250736020     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2006.1681728     Document Type: Conference Paper

References (15)

1. A. Bicchi. Hands for dextrous manipulation and robust grasping: a difficult road towards simplicity. IEEE Trans. on Robotics and Automation, 16(6):652-662, 2000.
2. L. Biagiotti, F. Lotti, C. Melchiorri, and G. Vassura. Design aspects for advanced robot hands. In Proceedings IEEE/RSJ International conference on intelligent robots and systems, Lausanne, Switzerland, September 2002.
3. M. Cutkosky. On grasp coice, grasp models, and the design of hands for manufacturing tasks. IEEE Transactions on Robotics and Automation, 5 (3), 1989.
4. Thea Iberall. Human prehension and dexterous robot hands. The International Journal of Robotics Research, 16:285-299, 1997.
5. S.B. Kang and K. Ikeuchi. Towards automatic robot instruction form perception - mapping human grasps to manipulator grasps. IEEE Transactions on Robotics and Automation, 13 (1), 1997.
6. K. Ikeuchi K. Bernardin, K. Ogawara and R. Dillman. A sensor fusion approach for recognizing continuous human grasp sequences using hidden markov models. IEEE Transactions on Robotics, 21 (1), February, 2005.
7. S. Ekvall and D. Kragic. Grasp recognition for programming by demonstration. In Proceedings of International conference on robotics and automation, ICRA 2005, Barcelona, Spain, 2005.
8. P. van der Smagt M. Fischer and G. Hirzinger. Learning techniques in a dataglove based telemanipulation system for the dir hand. In Proceedings of International conference on robotics and automation, ICRA 1998, Leuven, Belgium, May 1998.
9. T. Wojtara and K. Nonami. Hand posture detection by neural network and grasp mapping for slave master hand system. In Proceedings IEEE/RSJ International conference on intelligent robots and systems, Sendai, Japan, September 2004.
10. M. Lopes and J. Santos-Victor. Visual learning by imitation with motor representations. IEEE Trans, on Syst., Man, and Cyb., Part B, Vol. SMC-35. No.3:438-449, June 2005.
11. H. H. Asada and J.R. Fortier. Task recognition and human-machine coordination through the use of an instrument-glove. Progress report No. 2-5, pages 1-39, March 2000.
12. M. Kawato. Internal models for control and trajectory planning. Current Opinion in Neurobiology, No.9:718-727, 1999.
13. R. Palm and Ch. Stutz. Generation of control sequences for a fuzzy gain scheduler. International Journal of Fuzzy Systems, Vol. 5, No. 1:1-10, March 2003.
14. T. Takagi and M. Sugeno. Identification of systems and its applications to modeling and control. IEEE Trans. on Syst., Man, and Cyb., Vol. SMC-15. No.1:116-132, January/February 1985.
15. D.E. Gustafson and W.C. Kessel. Fuzzy clustering with a fuzzy covariance matrix. Proceedings of the 1979 IEEE CDC, pages 761-766, 1979.