Human-robot collaborative assembly and welding: A review and analysis of the state of the art

Cao, Yue; Zhou, Quan; Yuan, Wei; Ye, Qiang; Popa, Dan; Zhang, YuMing

doi:10.1016/j.jmapro.2024.09.044

Journal of Manufacturing Processes

2024

DOI: 10.1016/j.jmapro.2024.09.044

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Human-robot collaborative assembly and welding: A review and analysis of the state of the art

Yue Cao,

Quan Zhou,

Wei Yuan

et al.

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Cited by 2 publications

References 55 publications

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Integrated optimization of multi-station multi-robot assembly welding line: Application for automotive industry

Wang,

Chen

et al. 2025

Expert Systems with Applications

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Integrated optimization of multi-station multi-robot assembly welding line: Application for automotive industry

Wang,

Chen

et al. 2025

Expert Systems with Applications

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Robotic Edge Intelligence for Energy-Efficient Human–Robot Collaboration

Cai,

Du,

Huang

et al. 2024

Sustainability

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Energy-efficient human–robot collaboration poses significant challenges to the sustainable operation of production systems. Therefore, our work proposes novel robotic edge intelligence to address the issue. First, robotic edge intelligence is proposed to fully utilize the embedded computing capabilities of edge robots, and the state transition diagrams are developed for jobs, humans, and robots, respectively. Second, a multi-objective model is designed for the energy-efficient human–robot scheduling problem to evaluate the production performance and energy efficiency as a whole. Third, a heuristic algorithm is developed to search for the optimal solutions based on an artificial plant community, which is lightweight enough to be run on edge robots. Finally, a benchmark data set is developed, and a series of benchmark experiments are implemented to test the proposed system. The results demonstrate that the proposed method can effectively enhance energy efficiency and production performance with satisfying solution performance.

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Human-robot collaborative assembly and welding: A review and analysis of the state of the art

Cited by 2 publications

References 55 publications

Integrated optimization of multi-station multi-robot assembly welding line: Application for automotive industry

Integrated optimization of multi-station multi-robot assembly welding line: Application for automotive industry

Robotic Edge Intelligence for Energy-Efficient Human–Robot Collaboration

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