Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm

Abstract

To make the picking path planning of warehousing and logistics robot in warehouse more efficient and real-time, a path planning for batch picking of warehousing and logistics robots based on the modified A* algorithm was put forward. First of all, the path planning of the single robot batch picking was realized. Then, the time cost was introduced to further improve the A* algorithm to realize the batch picking path planning of the multi-warehouse logistics robots. Finally, according to the algorithm proposed, .Net visual programming technology was applied to build a complete warehouse logistics robot picking path planning simulation system to verify the effectiveness of the algorithm proposed. The research results showed that the algorithm proposed could meet the needs of efficient and real-time path planning in the process of completing batch picking tasks. To sum up, it lays a solid foundation for the realization of intelligent and fully automated warehouse management.