A portable inflatable soft wearable robot to assist the shoulder during industrial work

机器人 可穿戴计算机 模拟 计算机科学 肱二头肌 工程类 物理医学与康复 人工智能 医学 嵌入式系统
作者
Yu Zhou,Cameron J. Hohimer,Harrison T. Young,Connor M. McCann,David Pont-Esteban,Umut S. Civici,Yichu Jin,Patrick Murphy,Diana Wagner,Tazzy Cole,Nathan Phipps,Haedo Cho,Franchesco Bertacchi,Isabella Pignataro,Tommaso Proietti,Conor J. Walsh
出处
期刊:Science robotics [American Association for the Advancement of Science (AAAS)]
卷期号:9 (91) 被引量:6
标识
DOI:10.1126/scirobotics.adi2377
摘要

Repetitive overhead tasks during factory work can cause shoulder injuries resulting in impaired health and productivity loss. Soft wearable upper extremity robots have the potential to be effective injury prevention tools with minimal restrictions using soft materials and active controls. We present the design and evaluation of a portable inflatable shoulder wearable robot for assisting industrial workers during shoulder-elevated tasks. The robot is worn like a shirt with integrated textile pneumatic actuators, inertial measurement units, and a portable actuation unit. It can provide up to 6.6 newton-meters of torque to support the shoulder and cycle assistance on and off at six times per minute. From human participant evaluations during simulated industrial tasks, the robot reduced agonist muscle activities (anterior, middle, and posterior deltoids and biceps brachii) by up to 40% with slight changes in joint angles of less than 7% range of motion while not increasing antagonistic muscle activity (latissimus dorsi) in current sample size. Comparison of controller parameters further highlighted that higher assistance magnitude and earlier assistance timing resulted in statistically significant muscle activity reductions. During a task circuit with dynamic transitions among the tasks, the kinematics-based controller of the robot showed robustness to misinflations (96% true negative rate and 91% true positive rate), indicating minimal disturbances to the user when assistance was not required. A preliminary evaluation of a pressure modulation profile also highlighted a trade-off between user perception and hardware demands. Finally, five automotive factory workers used the robot in a pilot manufacturing area and provided feedback.
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