Research on Human- robot Joint Task Assignment Considering Task Complexity

Abstract

In the production line, the direct purpose of robot is to reduce the labor intensity and improve the efficiency of the production line. In the literature, the assignment problem of human-robot joint task is usually carried out with cost and time as the goal. A human-robot joint task assignment model considering the complexity of the task is established to obtain the optimal resource utilization scheme. In this paper, the operation complexity evaluation method of human-robot joint assembly is given from two aspects of operation process and decision process. Second, developed based on the complexity of the operation of human-robot combination task allocation model, the model to take advantage of resource equilibrium rate, average workers operation complexity and decision-making process complexity as constraint conditions, to minimize hysteresis time delay between the balance as the goal, in the task assignment, assume that the robot decision-making process complexity is less than the workers responsible for operating the complexity of the decision-making process, responsible for operation and the balance of both workers operating task complexity, optimizing man-machine combination task allocation scheme. The case study proves the feasibility of the proposed model.