Research on material distribution route planning method of automatic guided vehicles in multi-story building

Due to its high reliability and flexibility, automated guided vehicles (AGVs) have found wide application in the field of warehousing and logistics. However, the transportation of logistics between floors in building environments presents new challenges for AGVs' path planning. Aiming at the problem of AGV material distribution in multi-story buildings, a path planning algorithm considering the distance between the elevator inlet and outlet is proposed in this paper. The algorithm, based on the A start (A*) algorithm, considers multiple elevator gate locations on each floor as alternative passing points for AGVs and utilizes the Manhattan distance as the path selection mechanism. By comparing the path generation value from the current position of an AGV to each elevator gate location, the algorithm achieves optimal path planning with minimal generation value. Experimental results demonstrate that this method effectively facilitates optimal path planning for AGVs in building environments, leading to a significant improvement in the transportation efficiency of warehousing logistics within such environments.