A review of human-robot collaborative assembly system

Zirui Qiu

doi:10.1117/12.3035387

21 July 2024 A review of human-robot collaborative assembly system

Zirui Qiu

Proceedings Volume 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024); 132193B (2024) https://doi.org/10.1117/12.3035387
Event: 4th International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2024), 2024, Kaifeng, China

Abstract

This paper aims to explore human-robot collaborative assembly systems that enable efficient assembly operations through coexistence, interaction, cooperation, and collaboration between humans and robots. First, the paper defines the concept of human-computer interaction and makes clear that the research focus includes the relationship between human and robot, path planning, safety design and task assignment. By studying these key issues, the advantages and challenges of human-robot collaborative assembly systems can be revealed. The research results show that the human-robot collaborative assembly system has significant advantages. First, through cooperation and collaboration between humans and robots, the efficiency and quality of assembly operations can be improved. Secondly, the optimization of path planning and task allocation can reduce the waste of time and resources in the assembly process. In addition, the consideration of safety design can ensure the operation safety of man-machine collaborative assembly system. However, human-robot collaborative assembly systems also face some challenges. It includes optimizing task allocation and scheduling, communication and collaboration between workers and robots. In order to overcome these challenges, this paper discusses the future development direction of human-robot collaborative assembly systems.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zirui Qiu "A review of human-robot collaborative assembly system", Proc. SPIE 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024), 132193B (21 July 2024); https://doi.org/10.1117/12.3035387

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