Design of multi-AGV intelligent collision avoidance system based on dynamic priority strategy

With the development of industrial automation, there are urgent requirements for adaptive multi-AGV intelligent collision avoidance in logistics warehousing. In this paper, an intelligent collision avoidance method of AGV system based on dynamic priority strategy is proposed, which uses the A* algorithm for initial optimal path planning, uses the positioning navigation method combining inertial navigation and visual navigation algorithm, uses visual sensors to identify AGVs and obstacles, and adjusts the speed and distance between AGVs and AGV and obstacles in time according to the priority size to achieve intelligent collision avoidance. The numerical analysis of the data results is carried out through simulation experiments, and the results show that this method can achieve intelligent collision avoidance, which initially verifies the feasibility of system design.