Abstract
One of the key issues in mobile robot navigation is coping with uncertainty in a dynamic environment. One possible solutions lies in behaviors, but there is a problem with standard behavior arbitration techniques. To combat this problem, David Payton introduced a commandarbitration net that minimizes the loss of information between behaviors. Wehave extended his approach using fuzzy logic. Somebenefits of using fuzzy logic include simplicity, extensibility and understandability, especially in the area of sensor fusion.
Original language | English (US) |
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Pages | 195-199 |
Number of pages | 5 |
State | Published - 1992 |
Event | 1992 AAAI Fall Symposium on Applications of AI to Real-World Autonomous Mobile Robots - Cambridge, United States Duration: Oct 23 1992 → Oct 25 1992 |
Conference
Conference | 1992 AAAI Fall Symposium on Applications of AI to Real-World Autonomous Mobile Robots |
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Country/Territory | United States |
City | Cambridge |
Period | 10/23/92 → 10/25/92 |
All Science Journal Classification (ASJC) codes
- General Engineering