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    Early Prediction of Human Intention for Human–Robot Collaboration Using Transformer Network 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 005:;page 51004-1
    Author(s): Zhang, Xinyao; Tian, Sibo; Liang, Xiao; Zheng, Minghui; Behdad, Sara
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Human intention prediction plays a critical role in human–robot collaboration, as it helps robots improve efficiency and safety by accurately anticipating human intentions and proactively assisting with tasks. While current ...
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    Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly 

    Source: Journal of Manufacturing Science and Engineering:;2022:;volume( 145 ):;issue: 003:;page 31008-1
    Author(s): Zhang, Xinyao; Eltouny, Kareem; Liang, Xiao; Behdad, Sara
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Disassembly is an essential process for the recovery of end-of-life (EOL) electronics in remanufacturing sites. Nevertheless, the process remains labor-intensive due to EOL electronics’ high degree of uncertainty and ...
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    Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks 

    Source: Journal of Computing and Information Science in Engineering:;2025:;volume( 025 ):;issue: 005:;page 51002-1
    Author(s): Zhang, Xinyao; Tian, Sibo; Liang, Xiao; Zheng, Minghui; Behdad, Sara
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Human–robot collaboration (HRC) has become an integral element of many manufacturing and service industries. A fundamental requirement for safe HRC is understanding and predicting human trajectories and intentions, especially ...
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    DSpace software copyright © 2002-2015  DuraSpace
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