Primitive communication of humanoid robot with human via hierarchical mimesis model on the proto symbol space

Proceedings of 2005 5th IEEE-RAS International Conference on Humanoid Robots

Volumn 2005, Issue , 2005, Pages 167-174

  Takano, Wataru ^a   Yamane, Katsu ^a   Nakamura, Yoshihiko ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Mimetic communication; Motion pattern recognition generation; Proto symbol space

Indexed keywords

ABSTRACTING; CODES (SYMBOLS); COMMUNICATION SYSTEMS; GESTURE RECOGNITION; HIERARCHICAL SYSTEMS; INFORMATION RETRIEVAL; MAN MACHINE SYSTEMS; MOTION PLANNING;

INFORMATION EXCHANGE; MIMETIC COMMUNICATION; MOTION PATTERN RECOGNITION; PROTO SYMBOL SPACE;

MOBILE ROBOTS;

EID: 33846626404     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHR.2005.1573563     Document Type: Conference Paper

References (14)

1. H. Kazerooni. Human Machine Interaction via the Transfer of Power and Information Signals. In Proc. of IEEE International Conference on Robotics and Automation, pp. 1632-1647, 1989
2. T. Matsui, H. Asoh, I. Hara and Y. Motomura. An Office Conversant Mobile Robot That Learns by Navigation and Conversation. In Proc. of Real World Computing Symposium, pp. 59-62, 1997.
3. P. Stone, P. Riley and M. Veloso. Defining and Using Ideal Teammate and Opponent Agent Models: A Case Study in Robotic Soccer. In Proc. of the Fourth International Conference on Multiagent Systems 2000, pp. 441-442, 2000.
4. H. Takahashi, S. Ishikawa and T. Omori. Acquisition of distinctive strategies corresponding to the other's strategies - comparing the agent's game play with real human's one in a hockey video game. In Proc. of International Symposium on Emergent Mechanism of Communication 2004, pp.68, 2004.
5. L. D. Canamero and J. Fredslund. How Does It Feel? Emotional Interaction with a Humanoid LEGO Robot. In Proc. of American Association for Artificial Intelligence Fall Symposium, FS-00-04, 2000.
6. C. Breazeal. A Motivational System for Regulating Human-Robot Interaction. In Proc. of the 15th National Conference on Artificial Intelligence, WI-54-61, 1998.
7. M.J.Mataric. Getting humanoids to move and imitate. IEEE Intelligent Systems, vol. 15, no. 4, pp. 18-24, 2000
8. Y. Kuniyoshi, M. Inaba and H. Inoue. Learning by Watching: Extracting Reusable Task Knowledge from Visual Observation of Human Performance. IEEE Transaction on Robotics and Automation, vol. 10, no. 6, pp. 799-822, 1994
9. J. Morimoto and K. Doya. Hierarchical reinforcement learning for motion learning: learning "stand-up" trajectories. Advanced Robotics, vol. 13, no. 3, pp. 267-268, 1999
10. T. Inamura, I. Toshima, H. Tanie and Y. Nakamura. Embodied Symbol Emergence based on Mimesis Theory. International Journal of Robotics Research, vol. 23, no. 4 pp. 363-377, 2004
11. M. Donald. Origin of the Modern Mind. Harvard University Press, Cambridge, 1991.
12. V. Gallese, A. Goldman. Mirror neuron and the simulation theory of mind-reading. Trends in Cognitive Science, vol. 2, no. 12, pp. 493-501, 1998.
13. G. Rizzolatti, L. Fogassi, V. Gallese. Neurophysiological mechanisms underlying the understanding and imitation of action. Nature Reviews, pp. 661-670, 2001.
14. L. Rabiner and B. H. Juang. Fundamentals of Speech Recognition. Prentice Hall Signal Processing Series, 1993