Improving Workers' Musculoskeletal Health During Human-Robot Collaboration Through Reinforcement Learning.
Ziyang XieLu LuHanwen WangBingyi SuYunan LiuXu XuPublished in: Human factors (2023)
The proposed method can be applied to improve the occupational safety in robot-implemented factories. Specifically, the personalized robot working positions and orientations can proactively reduce exposure to awkward postures that increase the risk of musculoskeletal disorders. The algorithm can also reactively protect workers by reducing the workload in specific joints.