Abstract
A successful mobile robot system must have the ability to move about in a dynamic environment. Our approach to this problem is to plan a path for the robot to move from a starting point to a goal point using a map that may not have all the current information on the environment. The controller then dynamically reacts in an intelligent fashion to unplanned obstacles along the path by using sensor information and path information. This system attempts to follow a given path, adapting its course to the obstacles and shortcuts it perceives along the way. The key element of our approach is in using fuzzy logic to express and manipulate concepts needed for intelligent control. Some benefits from the use of fuzzy logic are ease of sensor fusion and generalization of desired direction of travel.
| Original language | English (US) |
|---|---|
| Title of host publication | Fuzzy Logic and Fuzzy Control - IJCAI 1991 Workshops on Fuzzy Logic and Fuzzy Control, Proceedings |
| Publisher | Springer Verlag |
| Pages | 133-142 |
| Number of pages | 10 |
| Volume | 833 LNAI |
| ISBN (Print) | 9783540582793 |
| State | Published - 1994 |
| Event | IJCAI 1991 Workshops on Fuzzy Logic and Fuzzy Control - Sydney, Australia Duration: Aug 24 1991 → Aug 24 1991 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 833 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | IJCAI 1991 Workshops on Fuzzy Logic and Fuzzy Control |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 8/24/91 → 8/24/91 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Using fuzzy logic in a mobile robot path controller. / Yen, John; Pfluger, Nathan.
Fuzzy Logic and Fuzzy Control - IJCAI 1991 Workshops on Fuzzy Logic and Fuzzy Control, Proceedings. Vol. 833 LNAI Springer Verlag, 1994. p. 133-142 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 833 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Using fuzzy logic in a mobile robot path controller
AU - Yen, John
AU - Pfluger, Nathan
PY - 1994
Y1 - 1994
N2 - A successful mobile robot system must have the ability to move about in a dynamic environment. Our approach to this problem is to plan a path for the robot to move from a starting point to a goal point using a map that may not have all the current information on the environment. The controller then dynamically reacts in an intelligent fashion to unplanned obstacles along the path by using sensor information and path information. This system attempts to follow a given path, adapting its course to the obstacles and shortcuts it perceives along the way. The key element of our approach is in using fuzzy logic to express and manipulate concepts needed for intelligent control. Some benefits from the use of fuzzy logic are ease of sensor fusion and generalization of desired direction of travel.
AB - A successful mobile robot system must have the ability to move about in a dynamic environment. Our approach to this problem is to plan a path for the robot to move from a starting point to a goal point using a map that may not have all the current information on the environment. The controller then dynamically reacts in an intelligent fashion to unplanned obstacles along the path by using sensor information and path information. This system attempts to follow a given path, adapting its course to the obstacles and shortcuts it perceives along the way. The key element of our approach is in using fuzzy logic to express and manipulate concepts needed for intelligent control. Some benefits from the use of fuzzy logic are ease of sensor fusion and generalization of desired direction of travel.
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UR - http://www.scopus.com/inward/citedby.url?scp=85027521623&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9783540582793
VL - 833 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 133
EP - 142
BT - Fuzzy Logic and Fuzzy Control - IJCAI 1991 Workshops on Fuzzy Logic and Fuzzy Control, Proceedings
PB - Springer Verlag
ER -