A Cognitive Architecture for Flexible Imitative Interaction Using Tools and Objects

Imitative responses constitute an important basis of rich interaction between an infant and a care-giver. This paper proposes a cognitive robotic architecture for generating a variety of flexible imitative responses in situations where a robot interacts with humans using various toy objects. The architecture is based on a cognitive scientific hypothesis that "true imitation" capability consists of a set of sub-functions called "pseudo-imitation". Examples of pseudo-imitation are: (1) assimilation of bodily movements, (2) evoking stereotyped actions associated with a viewed object (tool). We propose that the synergy of these pseudo-imitations leads to higher level imitation. The above hypothesis is realized by implementing the individual pseudo-imitation components and the synergy function as parallel real-time modules. The robot flexibly exhibits various pseudo-imitation as well as their synergy, called "action unit imitation", by the dynamic collective workings of components and the function

[1]  Joshua G. Hale,et al.  Using Humanoid Robots to Study Human Behavior , 2000, IEEE Intell. Syst..

[2]  Masayuki Inaba,et al.  From visuo-motor self learning to early imitation-a neural architecture for humanoid learning , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[3]  N. Otsu,et al.  Action and simultaneous multiple-person identification using cubic higher-order local auto-correlation , 2004, ICPR 2004.

[4]  Masayuki Inaba,et al.  Learning by watching: extracting reusable task knowledge from visual observation of human performance , 1994, IEEE Trans. Robotics Autom..

[5]  Giorgio Metta,et al.  Grounding vision through experimental manipulation , 2003, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[6]  Y. Kuniyoshi.  The Science of Imitation - Towards Physically and Socially Grounded Intelligence , 1994 .

[7]  Katsushi Ikeuchi,et al.  Toward an assembly plan from observation. I. Task recognition with polyhedral objects , 1994, IEEE Trans. Robotics Autom..

[8]  Takio Kurita,et al.  A New Scheme for Practical Flexible and Intelligent Vision Systems , 1988, MVA.

[9]  Takashi Suehiro,et al.  RT-middleware: distributed component middleware for RT (robot technology) , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  Aude Billard,et al.  Learning human arm movements by imitation: : Evaluation of a biologically inspired connectionist architecture , 2000, Robotics Auton. Syst..

[11]  Gordon Cheng,et al.  ETL-Humanoid-A high-performance full body humanoid system for versatile actions , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).