A Task-Grouped Approach for the Multi-robot Task Allocation of Warehouse System

Abstract

Multi-Robot System can achieve intelligent warehouse management, one of its key issues is the rational allocation and coordination of tasks. According to the characteristics of tasks in warehouse, a new task-grouped approach is proposed, which is based on the idea of "the global tasks are grouped first and redistributed later ", improving the traditional static allocation algorithm is applied to the dynamic task in warehouse, where dynamic tasks can be processed in the form of relatively static. The method that gets near optimal assignments enhances the flexibility of the algorithm. Finally, the algorithm is simulated and the experimental results show that the method reduces the total time of the global task allocation, improves the performance of the global task path equilibrium, and the complexity is lower.