Title :
Fuzzy Computing for Communication of A Partner Robot Based on Imitation
Author :
Kubota, Naoyuki ; Nishida, Kenichiro
Author_Institution :
Dept. of Mechanical Engineering, Tokyo Metropolitan University 1-1 Minami-Osawa, Hachioji, Tokyo 192-0397, Japan; PREST, Japan Science and Technology Corporation (JST)
Abstract :
This paper discusses communication between a partner robot and human based on visual tracking, and imitative learning for the partner robot. In this paper, we propose imitative learning and communication with human based on spiking neural network, self-organizing map, and steady-state genetic algorithm. Furthermore, we show experimental results of the partner robot based on imitation.
Keywords :
Fuzzy Computing; Imitative Learning; Partner Robot; Relevance Theory; Cameras; Charge coupled devices; Charge-coupled image sensors; Genetic mutations; Human robot interaction; Image processing; Mechanical engineering; Orbital robotics; Robot vision systems; Robotics and automation; Fuzzy Computing; Imitative Learning; Partner Robot; Relevance Theory;
Conference_Titel :
Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
Print_ISBN :
0-7803-8914-X
DOI :
10.1109/ROBOT.2005.1570794
