Abstract
The theory of behavioral communication for humanoid robots that interact with humans is discussed in this paper. For behavioral communication, it is fundamental for a humanoid robot to recognize the meaning of the whole body motion of a human. According to the previous works, it can be done in the symbolic level by adopting the proto-symbol space defined by the Hidden Markov Models based on the mimesis theory. The generation of robot motions from the proto-symbols is also to be done in the same framework. In this paper, we first introduce the meta proto-symbols that stochastically represent and become signifiants of the interaction of a robot and a human. The meta proto-symbols are a little more abstract analogy of the proto-symbols and recognize/generate the relationship of the two. A hypothesis is then proposed as the principle of fundamental communication. The experimental result follows.
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References
M. Donald: Origin of the Modern Mind Harvard University Press, Cambridge, 1991.
A. M. Liberman and I. G. Mattingly: “A specialization for speech perception,” Science, no. 243, pp. 489–494, 1989.
V. Gallese and A. Goldman: Mirror neuron and the simulation theory of mind-reading, Trends in Cognitive Science, vol. 2, no. 12, pp. 493–501, 1998.
G. Rizzolatti, L. Fogassi and V. Gallese: Neurophysiological mechanisms underlying the understanding and imitation of action, Nature Reviews, pp. 661–670, 2001
G. Rizzolatti and M. A. Arbib: “Language within our grasp,” Trend in Neuro-sciences, vol. 21, no. 5, 1998
T. Inamura, Y. Nakamura, H. Ezaki and I. Toshima: “Imitation and Primitive Symbol Acquisition of Humanoids by the Integrated Mimesis Loop,” Proc. of IEEE International Conference on Robotics and Automation, Vol.4, pp.4208–4213, Seoul, Korea, May, 2001.
T. Inamura, I. Toshima and Y. Nakamura: “Acquisition and Embodiment of Motion Elements in Closed Mimesis Loop,” Proc. of IEEE International Conference on Robotics and Automation, Vol.2, pp.1539–1544, Washington D.C., U.S.A., May, 2002
Y. Nakamura, T. Inamura and H. Tanie: “A Stochastic Model of Embodied Symbol Emergence,” Proc. of 11th International Symposium of Robotics Research, 2003.
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.
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.
C. Breazeal: “A Motivational System for Regulating Human-Robot Interaction,” In Proc. of the 15th National Conference on Artificial Intelligence, WI-54-61, 1998.
C. Breazeal and B. Scassellati: “Robots that imitate humans,” Trends in Cognitive Science, Vol.6 No.11, pp.481–487, 2002
K. Samejima, K. Katagiri, K. Doya and M. Kawato: “Symbolization and Imitation Learning of Motion Sequence Using Competitive Modules,” IEICE Trans, Vol.J85-D-II No1, pp.90–100, 2002.
K. Samejima, K. Doya, and M. Kawato: “Intra-module credit assignment in multiple model-besed reinforcement learning,” Neural Networks Vol.16 No.7, pp.985–994, 2003
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
A. Billard and K. Dautenhahn: “Grounding communication in situated, social robots,” In Proc. of Towards Intelligent Mobile Robots Conference, 1997
A. Billard and K. Dautenhahn: “Robot’s first steps, Robot’s first words...,” In Proc. of Groningen Assembly on Language Acquisition Conference, 1997
T. Sugihara and Y. Nakamura: “Architectural Design of Miniature Anthropomorphic Robots Towards High-Mobility,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
L. Rabiner and B. H. Juang: Fundamentals of Speech Recognition, Prentice Hall Signal Processing Series, 1993
T. Sugihara and Y. Nakamura: “Online Gait Planning with Boundary Relaxation of Biped Robot,” Proc. of 10th Robotics Symposia, 2005 (in Japanese)
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Nakamura, Y., Takano, W., Yamane, K. (2007). Mimetic Communication Theory for Humanoid Robots Interacting with Humans. In: Thrun, S., Brooks, R., Durrant-Whyte, H. (eds) Robotics Research. Springer Tracts in Advanced Robotics, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48113-3_12
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DOI: https://doi.org/10.1007/978-3-540-48113-3_12
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