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Autonomous Mobile Robot Behavior Control Using Immune Network
Yuji Watanabe, Akio Ishiguro and Yoshiki Uchikawa
Department of Computational Science and Engineering, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
Received:April 20, 1998Accepted:June 5, 1998Published:August 20, 1998
Keywords:Immune network, Decentralized consensusmaker, Autonomous mobile robot, Adaptation
Abstract
Attention has been increasingly focused on behaviorbased artificial intelligence (Al) due to its potential robustness and flexibility toward a dynamically changing world. This approach has yet unsolved problems: (1) how to construct an arbitration mechanism and (2) how to prepare competence modules (simple behavior/action). Biological information processing systems are interesting viewed from an engineering standpoint. Of these, we particularly have focused on the immune system, constructing a decentralized consensus-maker inspired by the immune network hypothesis. To solve the above problems in behavior-based Al, we apply our proposed method to behavior arbitration for an autonomous mobile robot in experiments using a real robot. We also study adaptation that automatically creates an artificial immune network using reinforcement signals.
Cite this article as:Y. Watanabe, A. Ishiguro, and Y. Uchikawa, “Autonomous Mobile Robot Behavior Control Using Immune Network,” J. Robot. Mechatron., Vol.10 No.4, pp. 326-332, 1998.Data files:
