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    Adaptive Robot Motion Planning for Smart Manufacturing Based on Digital Twin and Bayesian Optimization-Enhanced Reinforcement Learning 

    Source: Journal of Manufacturing Science and Engineering:;2025:;volume( 147 ):;issue: 005:;page 51009-1
    Author(s): Zhou, Qi; Wu, Jin; Li, Boyan; Li, Sikai; Feng, Bohan; Liu, Jiangshan; Bi, Youyi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Advanced motion planning is crucial for safe and efficient robotic operations in various scenarios of smart manufacturing, such as assembling, packaging, and palletizing. Compared to traditional motion planning methods, ...
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