The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2014
Session ID : 1A1-J06
Conference information
1A1-J06 Co-evolution of shape and behavior by Evolutionary Computing(Evolution and Learning for Robotics)
Hayaki YAMADAKenji IWADATEIkuo SUZUKIMitiko WATANABE
Author information
Keywords: GA, Artificial life
CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
The purpose of this research is to develop an automatic design method for hardware and software of machine. In this paper, the genetic algorithm is applied as the design method for shape and behavior of a virtual mobile modular robot. Mobile robots consist of the same parts, and the purpose of the design is to increase a moving distance. Designed mobile robots are simulated in a three-dimensional virtual physics space, and evaluated by moving distance. As a result, an appropriate shape and behavior for virtual robots is acquired.
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© 2014 The Japan Society of Mechanical Engineers
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