The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 53-431
Full Name: Hsuan-Ming Feng
Position: Associate Professor
Age: ON
Sex: Male
Address: No. 1 University, Rd., Kin-Ning Vallage Kinmen
Country: TAIWAN
Tel: +00886-82-313536
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E-mail address: hmfeng@nqu.edu.tw
Other E-mails: hmfenghmfeng@gmail.com
Title of the Paper: Fuzzy Embedded Mobile Robot Systems Design through the Evolutionary PSO Learning Algorithm
Authors as they appear in the Paper: Hua-Ching Chen, Hsuan-Ming Feng, Dong-hui GUO
Email addresses of all the authors: galaxy.km@gmail.com, hmfeng@nqu.edu.tw, dhguo@xmu.edu.cn
Number of paper pages: 11
Abstract: The evolutionary learning algorithm called particle swarm optimization (PSO) is developed in this paper. The image model of the embedded mobile robot is automatically generated with the omni-directional image concept to approach toward the behavior of the embedded mobile robot. The circumvolutory environment is dynamically captured from the head of the mobile robot, which will directly be transformed into the Cartesian coordinate system. The required parameters of fuzzy rules are automatically extracted with the guide of the flexible fitness function, which is efficiently approach toward the multiple objectives of avoiding obstacles, selecting favorable fuzzy rules to drive the desired targets at the same time. Three illustrated examples with various initial positions for the discussed environment map containing different blocks size and locations are illustrated the efficiency of the PSO leaning algorithm. Simulations demonstrate that the proposed mobile robot wit!
h the selected fuzzy rules can avoid the obstacles and achieve the targets as soon as possible
Keywords: Particle swarm optimization; Fuzzy systems; Mobile robots, Evolutionary learning, Omni-directional image
EXTENSION of the file: .pdf
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How Did you learn about congress: Mobile Robot, Fuzzy system control
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