Applied Sciences, Volume 13, Issue 9
2023 May-1 - 603 articles
Cover Story: This study addresses potential musculoskeletal disorders resulting from poor work posture during human–robot collaboration. Our proposed method optimizes human posture during human–robot collaboration using the Particle Swarm Optimization (PSO) algorithm. By assigning an appropriate location to the robot's end-effector, we aim to enhance ergonomics by minimizing the distance between the optimized posture of the human and their current posture. Through a user study in a virtual reality environment with 20 participants, our method could improve ergonomics by 66%, measured by the Rapid Entire Body Assessment (REBA) score calculated from body joint angles captured by a Kinect camera. Our research contributes to the field by offering a practical solution for addressing musculoskeletal disorders in human–robot collaboration by creating safer and more efficient work environments. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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