4.7 Article

Design and Control of an Underactuated Finger Exoskeleton for Assisting Activities of Daily Living

期刊

IEEE-ASME TRANSACTIONS ON MECHATRONICS
卷 27, 期 5, 页码 2699-2709

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMECH.2021.3120030

关键词

Admittance control; assistance; finger exoskeleton; preshaping; shape-adaptive grasping; underactuation

资金

  1. National Natural Science Foundation of China [62025307, U1913209]
  2. Beijing Municipal Natural Science Foundation [JQ19020.d]

向作者/读者索取更多资源

This article introduces a lightweight and portable finger exoskeleton for elderly individuals with weak muscle strength, which achieves both finger preshaping and grasping of generic objects. The optimization of contact forces through a multiobjective genetic algorithm improves grasping performance. Additionally, admittance control is applied to enhance compliance and fingertip grasping force control in different phases of the grasping task.
In this article, a novel underactuated finger exoskeleton is designed to assist grasping tasks for the elderly with weak muscle strength. In mechanical design, the human finger's phalanges and joints are considered as part of the kinematic chains to realize the human-robot kinematic compatibility. The proposed finger exoskeleton achieves the finger preshaping and grasps objects with generic shapes. The proposed exoskeleton is both actively and passively backdriveable. Moreover, the weight of the wearable part of the proposed exoskeleton is 127 g, and the overall weight is 476 g, which indicates the proposed exoskeleton is lightweight and portable. To improve the grasping performance, the multiobjective genetic algorithm is implemented to optimize contact forces, which is to maximize the sum of the forces exerted on the index finger phalanges by the exoskeleton and to minimize the difference between the contact forces. After optimization, the sum of contact forces is risen by 15%, and the difference between forces is decreased by 53%. Furthermore, the admittance control is applied to make the proposed finger exoskeleton more compliant in the preshaping phase, and the admittance control is also implemented to achieve the fingertip grasping force control in the grasping phase. Finally, experiments have been conducted to verify the range of motion, grasping forces, and feasibility of the proposed index finger exoskeleton. The effectiveness of the control algorithm has also been verified by experiments.

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