Humanoid robot's autonomous acquisition of proto-symbols through motion segmentation

Proceedings of the 2006 6th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS

Volumn , Issue , 2006, Pages 425-431

  Takano, Wataru ^a   Nakamura, Yoshihiko ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Hidden Markov model; Imitation learning; Mimesis; Segmentation

Indexed keywords

CODES (SYMBOLS); INTELLIGENT ROBOTS; MARKOV PROCESSES; ROBOTICS; ROBOTS;

AUTOMATIC SEGMENTATIONS; HIDDEN MARKOV MODEL; HUMAN INTELLIGENCE; HUMANOID ROBOT; HUMANOID ROBOTS; IMITATION LEARNING; INTERACTIVE COMMUNICATIONS; INTERNATIONAL CONFERENCES; MIMESIS; MOTION PATTERNS; MOTION RECOGNITION; MOTION SEGMENTATION; SEGMENTATION; SHORT TIME;

HIDDEN MARKOV MODELS;

EID: 36349019354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHR.2006.321307     Document Type: Conference Paper

References (23)

1. C.Breazeal, B.Scassellati: "Robots that imitate humans",Trends in Cognitive Science,Vol.6 No.11,pp481-487, 2002.
2. K.Samejima, K.Doya, M.Kawato: "Intra-module credit assignment in multiple model-besed reinforcement learning", Neural Networks Vol.16 No.7,pp.985-994,2003.
3. M.J.Mataric: "Getting humaniods to move and imitate," IEEE Intelligent Systems, vol. 15, no. 4, pp. 18-24, 2000.
4. 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.
5. M.Ito, J.Tani: "On-line imitative interaction with a humanoid robot using a mirror neuron model," Proceedings of the 2004 IEEE International Conference on Robotics and Automation,pp.1071-1076, 2004.
6. A. G. Billard, S. Calinon, F. Guenter: "Discriminative and Adaptive Imitation in Uni-manual and Bi-manual tasks," Robotics and Autonomous Systems, vol. 54, no. 5, pp. 370-384, 2006.
7. 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.
8. G. Rizzolatti, L. Fogassi, V. Gallese: "Neurophysiological mechanisms underlying the understanding and imitation of action," Nature Reviews, pp. 661-670, 2001.
9. M. Donald: "Origin of the Modern Mind" Harvard University Press,Cambridge,1991.
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. W. Takano and Y. Nakamura: "Key Feature Extraction for Probabilistic Categorization of Human Motion Patterns,", Proc. of 2005 International Conference on Advanced Robotics, 2005.
12. T. S. Wang, H. Y. Shum, Y. Q. Xu and N. N. Zheng: "Unsupervised Analysys of Human Gestures," Proc. of the Second IEEE Pacific-Rim Conference on Multimedia, no. 10, pp. 174-181, 2001.
13. T. Shiratori, A. Nakazawa, K. Ikeuchi: "Detecting Dance Motion Structure through Music Analysis," Proc. of the sixth IEEE International Conference on Automatic Face and Gesture Recognition, no. 5, pp. 857-862, 2004.
14. T. Flash, N. Hogan: "The Coordination of Arm Movements: An Experimentally Confirmed Mathematical Model," The Jornal of Neuroscience, vol. 5, no. 7, pp. 1668-1703, 1985.
15. T. Kim, S. I. Park, S. Y. Shin: "Rhythmic-Motion Synthesis Based on Motion-Beat Analysis," Proc. of ACM SIGGRAPH2003, 2003.
16. M. R. Brent: "Speech segmentation and word discovery: a computational perspective," Trends in Cognitive Science, vol. 3, no. 8, pp.294-301, 1999.
17. M. Redington, N. Charter: "Probabilistic and distributional approaches to language acquisition," Trends in Cognitive Sciences, vol. 1, no. 7, pp. 273-281, 1997.
18. M. H. Christiansen, S. Curtin: "Transfer of learning: rule acquisition or statistical learning," Trends in Cognitive Sciences, vol. 3, no. 8, pp. 289-290, 1999.
19. J. L. Elman: "Finding Structure in time," Cognitive Science, no. 14, pp. 179-211, 1990.
20. P. Cairns,R. Shillcock, N. Chater J. Levy: "Bootstrapping Word Bound-aries: A Bottom-up Corpus-Based Approach to Speech Segmentation," Cognitive Psychology, vol. 33, no. 2, pp. 111-153, 1997.
21. M. R. Brent: "An efficient, probabilistically sound algorithm for segmentation and word discovery," Machine Learning, vol. 34, pp. 71-106, 1999.
22. L. Rabiner and B. H. Juang: Fundamentals of Speech Recognition, Prentice Hall Signal Processing Series, 1993.
23. K. Yamane, Y. Nakamura: "Natural Motion Animation through Constraining and Deconstraining at Will," IEEE Transactions on Visualization and Computer Graphics, vol. 9, no. 3, pp. 352-360, 2003.