• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2021, Vol. 57 ›› Issue (7): 204-214.doi: 10.3901/JME.2021.07.204

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Research on Human- robot Joint Task Assignment Considering Task Complexity

KONG Fansen1,2,3, GAO Tianyu1,2, LI Huimin1,2, LU Zhenlin1,2   

  1. 1. School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022;
    2. Jilin Provincial Key Laboratory of Designing and Planning for Factory, Jilin University, Changchun 130022;
    3. Key Laboratory of CNC Equipment Reliability of Ministry of Education, Jilin University, Changchun 130022
  • Received:2020-06-09 Revised:2020-12-18 Online:2021-04-05 Published:2021-05-25

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.

Key words: human-robot, task allocation, assembly complexity, assembly line balancing

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