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GECCO
2000
Springer

Evolutionary Design of Behaviors for Action-Based Environment Modeling by a Mobile Robot

9 years 7 months ago
Evolutionary Design of Behaviors for Action-Based Environment Modeling by a Mobile Robot
This paper describes an evolutionary way to acquire behaviors of a mobile robot for recognizing environments. We have proposed AEM (Action-based Environment Modeling) approach for a simple mobile robot to recognize environments. In AEM, a behaviorbased mobile robot acts in each environments and action sequences are obtained. The action sequences are transformed into vectors characterizing the environments, and the robot identifies the environments with similarity between the vectors. The suitable behaviors like wall-following for AEM have been designed by a human. However the design is very difficult for him/her because the search space is huge and intuitive understanding is hard. Thus we propose the evolutionary design of such behaviors using genetic algorithm and make simulations in which a robot recognizes the environments with different structures. As results, we find out suitable behaviors are learned even for environments in which human hardly designs them, and the learned behav...
Seiji Yamada
Added 24 Aug 2010
Updated 24 Aug 2010
Type Conference
Year 2000
Where GECCO
Authors Seiji Yamada
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