Abstract
We have already developed a fuzzy behavior-based control system that combines the concept of subsumption architecture and fuzzy reasoning technique. When applying it for a mobile robot, the robot needs to have precise information such as distance and azimuth. In this paper, we discuss how to construct the fuzzy behavior-based control system for a miniature mobile robot in the case when the robot can not often receive any information from sensors. In addition, we apply a virus evolutionary genetic algorithm with species to generating the fuzzy rule. The effectiveness of the proposed method is shown by simulations.
| Original language | English |
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| Pages | 483-490 |
| Number of pages | 8 |
| Publication status | Published - Dec 1 1998 |
| Externally published | Yes |
| Event | Proceedings of the 1998 2nd International Conference on knowledge-Based Intelligent Electronic Systems (KES '98) - Adelaide, Aust Duration: Apr 21 1998 → Apr 23 1998 |
Other
| Other | Proceedings of the 1998 2nd International Conference on knowledge-Based Intelligent Electronic Systems (KES '98) |
|---|---|
| City | Adelaide, Aust |
| Period | 4/21/98 → 4/23/98 |
ASJC Scopus subject areas
- Computer Science(all)