An Agent-Based Evolutionary Robotic System for Its Reconfiguration

Authors:
Xueshan Gao;Koki Kikuchi;Xiaobing Wu
Affiliations:
Beijing Institute of Technology, 100081, Beijing, China;Chiba Institute of Technology, 275-0016, Narashino, Japan;Beijing Institute of Technology, 100081, Beijing, China
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

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Abstract

In this paper, the evolutionary algorithm is applied to generate the morphology and intelligence of an individual agent robot in the multi-agent robotic system. Each robot agent is given the functions emerges from intelligence and balance between morphology and intelligence from the other agent robot and task of following and contacting. Both of the morphology and intelligence are automatically generated and evolved by genetic programming for the task. Furthermore, we performed evolution simulation experiments, and discussed the symmetry properties.