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http://dx.doi.org/10.5391/JKIIS.2004.14.6.699

Development of Distributed Autonomous Robotic Systerrt Based on Classifier System and Artificial Immune Network  

Sim, Kwee-Bo (중앙대학교 전자전기공학부)
Hwang, Chul-Min (중앙대학교 전자전기공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.6, 2004 , pp. 699-704 More about this Journal
Abstract
This paper proposes a Distributed Autonomous Robotic System(DARS) based on an Artificial Immune System(AIS) and a Classifier System(CS). The behaviors of robots in the system are divided into global behaviors and local behaviors. The global behaviors are actions to search tasks in environment. These actions are composed of two types: aggregation and dispersion. AIS decides one among these two actions, which robot should select and act on in the global. The local behaviors are actions to execute searched tasks. The robots learn the cooperative actions in these behaviors by the CS in the local. The proposed system is more adaptive than the existing system at the viewpoint that the robots learn and adapt the changing of tasks.
Keywords
Distributed Autonomous Robotic System; Artificial Immune System; Classifier System;
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