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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Thongchai, S. |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept. of Teacher Training in Electr. Eng., King Mongkut's Inst. of Technol., Bangkok, Thailand (Thongchai, S.) |
| Abstract | This paper describes a method to build a learning system for mobile robots based on the fuzzy control technique. Range sensors are analyzed and used. The learning system generates a set of fuzzy rules based on the robot's behaviors. Two examples illustrate the learning capabilities: 1) learn-to-avoid-obstacle, and 2) learn-to-detect-landmark behaviors. Reinforcement learning is applied to correct the fuzzy rules. Fuzzy controllers are used to control the robot using a set of fuzzy rules. The results of learn-to-avoid behavior indicate a good learning performance in dynamic environments. The results of learn-to-detect-landmark behavior show the robot can detect landmarks correctly from 68.43% to 90.09%. |
| Sponsorship | American Autom. Control Council IFAC SICE |
| Starting Page | 995 |
| Ending Page | 1000 |
| File Size | 585168 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780372980 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.2002.1023148 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-05-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Mobile robots Fuzzy control Fuzzy sets Robot sensing systems Fuzzy systems Navigation Learning systems Control systems Robot control Intelligent robots |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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