4.6 Article

Soft Wearable Robot With Shape Memory Alloy (SMA)-Based Artificial Muscle for Assisting With Elbow Flexion and Forearm Supination/Pronation

期刊

IEEE ROBOTICS AND AUTOMATION LETTERS
卷 7, 期 3, 页码 6028-6035

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LRA.2022.3161700

关键词

Rehabilitation robotics; shape memory alloy; soft robotics; wearable robotics

类别

资金

  1. Culture Technology RD Program [R2021040018]
  2. Ministry of Culture, Sports, and Tourism
  3. National Rehabilitation Center, Ministry of Health and Welfare, Korea
  4. Translation Research Program for Rehabilitation Robots [NRCTR-EX21002]
  5. Korea Creative Content Agency

向作者/读者索取更多资源

This article proposes a soft wearable robot with SMA-based artificial muscle for assisting upper limb motion. Experiments and assessments show that the robot improves the range of motion and torque produced by users, but there are design issues that need further development.
This letter proposes a soft wearable robot with shape memory alloy (SMA)-based artificial muscle to assist with upper limb motion. The SMA-based artificial muscle was designed by embedding a bundle of SMA coil springs into a stretchable coolant vessel, which allows active cooling of the SMA bundles through coolant circulation. By attaching SMA-based artificial muscles to a soft wearable brace, a soft wearable robot was designed to assist elbow flexion and forearm supination/pronation. To support the activities of daily living (ADLs), the proposed robot can produce more than 3 Nm torque in the direction of elbow flexion. In addition, the proposed robot can increase the forearm supination/pronation ROM by an average of 15.7 degrees for impaired users. Finally, to evaluate the effect of the assistance provided by the proposed system, experiments and system usability scale (SUS) assessments were conducted on a group of patients with stroke and spinal cord injuries (SCI). The results indicate that the robot improves not only the range of motion (ROM) but also the torque produced by the users. In addition, from the results of the user experiment, we found certain design issues that require further development for better performance of the robot.

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