Abstract
In order to improve the speed of AGV and the ability to adapt to the environment, this article proposes an AGV path planning method based on an improved search algorithm for beetle, which is explained from three aspects: environmental modeling, path planning, and dynamic obstacle avoidance. The simulation results of path planning are based on the bas algorithm. The grid method environment simulation shows that the method has strong path search ability and strong obstacle avoidance function. It can plan out more quickly than other algorithms in very complicated obstacle environment. An optimized path for safety avoidance is proposed.
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