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《Ordnance Industry Automation》 2006-04
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Path Planning of Mobile Robot Based on Particle Swarm Optimization Algorithm

HUANG Yi, SUN De-bao, QIN Yuan-qing (Dept. of Control Science & Engineering, Huazhong University Of Science & Technology, Wuhan 430074, China)  
The path planning of mobile robot is based on particle swarm optimization algorithm. The object function was established and the coordinate was transformed to establish environment model; then the particle swarm optimization was introduced to get the global optimum path. This method was proved by the simulation results of Matlab; the robot path planning in space operation and avoiding obstacles could be resolved effectively by this method. As compared with the traditional genetic algorithm, the modeling is simper and the calculation is quicker; and this method can be used to achieve different optimum traces in various obstacle environments.
【CateGory Index】: TP242
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