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Trajectory generation for human-friendly behavior of partner robot using fuzzy evaluating interactive genetic algorithm

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3 Author(s)
Nojima, Yusuke ; Dept. of Syst. Function Sci., Kobe Univ., Japan ; Kojima, F. ; Kubota, N.

This paper deals with a human-friendly trajectory generation using an interactive genetic algorithm for a partner robot. Human evaluation is very important for generating robotic behavior, but the structure of human evaluation is not clear beforehand. Therefore, a fuzzy state-value function is used for estimating the structure of human evaluation of a trajectory candidate generated by an interactive genetic algorithm. We apply a profit sharing plan based on human evaluation to update the state-value function. Some experimental results show the effectiveness of the proposed method.

Published in:

Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on  (Volume:1 )

Date of Conference:

16-20 July 2003