Research on task allocation model of logistics robot based on market coordination

With the transformation and upgrading of intelligent warehousing systems, large-scale logistics robots have gradually replaced manual operations. Aiming at the problem of large-scale picking task allocation of logistics robots, this paper proposes a task allocation model based on market coordination. Specifically, according to the degree of task similarity, the total time of robot picking tasks in a wave is used as the objective function, which is established as a minimisation model, and then a heuristic auction algorithm based on market coordination is designed to solve the model and obtain a task allocation strategy. In the simulation experiment, by comparing and analysing the balance effect of the picking table and the saved task picking time, we verify the practicality and effectiveness of the task allocation strategy and model in large-scale 'goods to person' intelligent warehousing systems.