Path Planning and Obstacle-Avoidance for Soccer Robot Based on Artificial Potential Field and Genetic Algorithm

Abstract

It is a key problem in the robot soccer game that is the global path planning and obstacle-avoidance of the soccer robots. The path planning is always gotten into the local minimum value solved by the traditional artificial potential field (APF). However, it can be improved by genetic algorithm (GA). In this paper, a novel algorithm (APFGA) combining APF… (More)

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