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JRM Vol.12 No.4 pp. 459-465
doi: 10.20965/jrm.2000.p0459
(2000)

Paper:

Motion Planning for Six-Legged Locomotion Robot Based on Hierarchical Knowledge Using Genetic Programming

Kentarou Kurashige*, Toshio Fukuda** and Haruo Hoshino***

*Dept. of Micro System Engineering Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan

**Center for Cooperative Research in Advanced Science & Technology Nagoya University

***Takenaka Corporation, Otsuka 1-5-1, Insei-shi, Chiba, 270-13, Japan

Received:
December 24, 1999
Accepted:
April 11, 2000
Published:
August 20, 2000
Keywords:
omni-directional walking robot, motion planning problem, genetic programming, hierarchical knowledge
Abstract

Much research has been done on the motion planning problem. In this field, main research is to generate the motion for specific robot and task without previously acquired motions. We research the motion planning reusing knowledge. It is our objective to realize hierarchical knowledge with reuse. In this paper, we adopt tree-based representation for expressing the knowledge of the motion and adopt genetic programming as a learning method. We construct the motion planning system using hierarchical knowledge. We apply the proposed method to the six-legged locomotion robot to show its availability.

Cite this article as:
Kentarou Kurashige, Toshio Fukuda, and Haruo Hoshino, “Motion Planning for Six-Legged Locomotion Robot Based on Hierarchical Knowledge Using Genetic Programming,” J. Robot. Mechatron., Vol.12, No.4, pp. 459-465, 2000.
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