Obstacle avoidance of mobile robot using fuzzy behavior-based control with module learning

Kiyotaka Izumi, Keigo Watanabe, Sang Ho Jin

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

Recently, intelligent control is being widely studied in the filed of robotics. A construction method of intelligent control system is the fuzzy behavior-based control which decomposes a task into each elemental behavior like a subsumption architecture, and each elemental behavior is realized by a fuzzy reasoning. In this paper, a module learning method is proposed for such a system, because the robot will be able to get more general knowledge or fuzzy reasoning than a central learning method. In particular, the module learning method is applied for an obstacle avoidance problem of a mobile robot. The effectiveness of the present method is illustrated through some simulations.

Original languageEnglish
Pages454-459
Number of pages6
Publication statusPublished - Dec 1 1999
Externally publishedYes
Event1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients' - Kyongju, South Korea
Duration: Oct 17 1999Oct 21 1999

Other

Other1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients'
CityKyongju, South Korea
Period10/17/9910/21/99

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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    Izumi, K., Watanabe, K., & Jin, S. H. (1999). Obstacle avoidance of mobile robot using fuzzy behavior-based control with module learning. 454-459. Paper presented at 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients', Kyongju, South Korea, .