Abstract
One important application of mobile robots is searching a geographical region to locate the origin of a specific sensible phenomenon. We first propose a fuzzy logic approach using a decision table. A novel fuzzy rule based was designed. And then a fuzzy search strategy is adopted by utilizing the three tier centers of mass coordination. Experimental results show that fuzzy logic algorithm is an efficient approach for the collective robots to locate the target source. In addition, noise and the position of the target affect the searching result.
Recommended Citation
N. Zhang and D. C. Wunsch, "Fuzzy Logic in Collective Robotic Search," Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at https://doi.org/10.1109/FUZZ.2003.1206650
Meeting Name
12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Collective Robotic Search; Collective Robots; Decision Table; Fuzzy Logic; Fuzzy Rule Base; Fuzzy Search Strategy; Geographical Region; Intelligent Robots; Mass Coordination; Mobile Robots; Motion Control; Multi-Robot Systems; Position Control; Search Problems; Specific Sensible Phenomena; Target Source Location; Three Tier Centers
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2003
