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http://dx.doi.org/10.6109/jkiice.2007.11.11.2083

Autonomous Mobile Robot System based on a Fuzzy Artificial Immune System  

Lee, Dong-Je ((주)다사로봇)
Choi, Young-Kiu (부산대학교 전자전기통신공학부)
Abstract
In this paper addresses the low-level behavior of fuzzy control and the high-level behavior selector for Autonomous Mobile Robots(AMRs) based on a Fuzzy Artificial Immune Network. The sensing information that comes from ultrasonic sensors is the antigen it, and stimulates antibodies. There are many possible combinations of actions between action-patterns and external situations. The question is how to handle the situations to decide the proper action. We propose a fuzzy artificial immune network to solve the above problem. and the computer simulation for an AMR action selector shows the usefulness of the proposed action selector.
Keywords
Immune network; Fuzzy Logic; Action Selector; Autonomous Mobile Robot;
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1 H. R. Beom and H. S. Cho, 'A sensor-based obstacle avoidance controller for a mobile robot using fuzzy logic and neural network,' Proc. IEEE International Conference on Intelligent Robots and Systems, vol. 2, pp. 1470-1475, 1992
2 Akio Ishiguro, Toshiyuki Kondo and Yuji Watanabe, 'An immunological approach to dynamic behavior arbitration for autonomous mobile robots,' Proc. International Symposium on Artificial Life and Robotics, pp. 132-137, 1996
3 N. K. Jerne, 'The immune system,' Scientific American, vol. 229, no. 1, pp. 52-60, 1973
4 T. Aoki, M. Matsuno, T. Suzuki and S. Okuma, 'Motion planning for multiple obstacles avoidance of autonomous mobile robot using hierarchical fuzzy rules,' Proc. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 265-271, 1994
5 A. Ramirez-Serrano and M. Boumedine, 'Real-time navigation in unknown environments using fuzzy logic and ultrasonic sensing,' Proc. IEEE International Symposiumon Intelligent Control, pp. 26-30, 1996
6 K. P. Prabir and K. Asim, 'Mobile robot navigation using a neural net,' Proc. IEEE International Conference on Robotics and Automation, pp. 1503-1508, 1996
7 O. Khatib, 'Real-time obstacle avoidance for manipulators and mobile robots,' Proc. IEEE International Conference on Robotics and Automation, pp. 500-505, 1985