Physical stress and overuse during assembly tasks is one of the main causes of musculoskeletal disorders of workers. Innovative body-worn robotic assist systems aim to reduce the physical stress in manual assembly and handling operations. A novel approach for automatic fatigue detection using machine learning techniques, combined with body-borne sensors, enables early detection and classification of fatigue. This article introduces the new method for an innovative soft robotic exosuit for physical worker assistance. The feasibility of the method is demonstrated in a case study for overhead car assembly.

中文翻译：

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基于软机器人外装辅助工人的头顶装配疲劳识别

装配任务期间的身体压力和过度使用是工人肌肉骨骼疾病的主要原因之一。创新的穿戴式机器人辅助系统旨在减少手动组装和搬运操作中的物理压力。一种使用机器学习技术进行自动疲劳检测的新方法，结合体载传感器，可实现疲劳的早期检测和分类。本文介绍了一种用于体力工作者辅助的创新软机器人外装的新方法。该方法的可行性在高架车组装的案例研究中得到了证明。