Research on the Efficiency Improvement of Human-Machine Collaboration in Manufacturing Production Process
DOI:
https://doi.org/10.54097/grmj1837Keywords:
Human-machine collaboration, Manufacturing, Lean productionAbstract
In modern manufacturing, human-computer collaboration has become an important means to improve productivity and product quality. However, the existing human-computer collaboration process and human-computer interaction interface design still has many deficiencies, which affects its efficiency and safety. This paper aims to explore how to improve the efficiency and safety of human-computer collaboration in the production process by optimising the human-computer collaboration process and designing the human-computer interaction interface. It is found that the efficiency and safety of human-computer collaboration can be significantly improved by optimising the collaboration process, improving the working environment and standardising the workflow through the lean manufacturing theory, and adopting a user-friendly interface design with high information visualisation and ease of operation.
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References
Pedrocchi N, Vicentini F, Malosion M, etal. Safe Human-Robot Cooperation in an Industrial Environment [J]. International Journal of Advanced Robotic Systems, 2013, 10(1972):1-13.
Youdong Chen, Jiaxin Guo, Jialei Liu, et al. Adaptive strategy for collaborative robots based on double Gaussian process [J]. Computer Integrated Manufacturing Systems, 2017, 23(9):1891-1898.
LIU Weihui, CHEN Dingsheng, ZHANG Lizhi. A method for trajectory generation and correction of robotic arm under human-robot collaboration [J]. Robotics, 2016, 38(4):504-512. 21.
Liu H, Wang L. Gesture recognition for human-robot collaboration: A review [J]. International Journal of Industrial Ergonomics, 2017.
Tang Quan. Research on sequence planning method for human-machine collaborative demolition [D]. Wuhan University of Technology, 2019.
Li Hongtao. Research on data/model hybrid-driven human-computer collaboration method [D]. Shenyang University of Technology, 2023.
Cai Xinru. Cooperative distribution path optimisation of vehicles and drones for emergency logistics [D]. Xihua University, 2023.
Li Minghan. Research on multi-UAV cooperative coverage search path planning problem under two a priori information conditions [D]. Minnan Normal University, 2023.
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