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.
Highlights
Intelligent warehouse is a new automated warehouse built on the basis of artificial intelligence (AI) technology
To solve the problem of how to realize the further improvement has very important realistic significance to the picking efficiency by logistics robot, but the key to solve the problem lies in the efficient path planning in view of logistics robot picking in different situations
Combined with the characteristics of the batch picking task and the variable order number, we propose a new adaptive parameter design plan based on the size of the problem scale α
Summary
Intelligent warehouse is a new automated warehouse built on the basis of artificial intelligence (AI) technology. It has the characteristics of high automation, low labour cost and high efficiency. The warehouse logistics robot plays a key role in the process of building an intelligent warehouse. The picking is very critical to the operation of most of the warehouse, which accounted for about 55% of the warehouse operation cost [1]. It directly determines the downstream customer service experience. To solve the problem of how to realize the further improvement has very important realistic significance to the picking efficiency by logistics robot, but the key to solve the problem lies in the efficient path planning in view of logistics robot picking in different situations
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