PSO-Based Fuzzy Image Mobile Robot Systems Design
The novel particle swarm optimization (PSO) learning algorithm is applied to automatically generate the fuzzy systems with the image processing technology in achieving the adaptability of the embedded mobile robot. The omni-directional image mathematical model for the mobile robot system is established to represent the indoor environment. The embedded fuzzy control rules are automatically extracted by the direct of the flexible fitness function for multiple objectives of avoiding obstacles, selecting suitable fuzzy rules and approaching the desired targets at the same time. The illustrated examples with various initial positions for the discussed environment map containing the defined block is applied to demonstrate that the proposed mobile robot with the selected fuzzy rules can overcome the obstacles and achieve the targets as soon as possible.
Particle Swarm Optimization Fuzzy Image Systems Embedded Mobile Robots.
Hsuan-Ming Feng Hua-Ching Chen Dong-hui Guo
Department of Computer Science and Information Engineering, National Quemoy UniversityNo. 1 Universi Department of Electronic Engineering; Xiamen UniversityXiamen Fujian 361005; China Department of Electronic Engineering; Xiamen University Xiamen Fujian 361005; China
国际会议
厦门
英文
101-105
2011-06-24（万方平台首次上网日期，不代表论文的发表时间）