Control of Soft Wearable Robots for Elbow Assistance and Rehabilitation: A Simplified Solution Using Disturbance Observer and Nonsmooth Feedback
Soft wearable robots present a promising approach for elbow assistance and rehabilitation. However, most existing devices rely on open-loop control strategies, which renders individual customization cumbersome and incapable of adapting to dynamic interactions. The challenges in implementing closed-l...
Saved in:
| Main Authors: | Jiajin Wang, Baoguo Xu, Xin Wang, Jianwei Lai, Xiangshan Wei, Zishuo Zhao, Ye Lu, Ying Shen, Hongxing Wang, Aiguo Song |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11106485/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Decoupled, wearable soft robotic rehabilitation device for the upper limb
by: James Greig, et al.
Published: (2025-01-01) -
Adjustable Rigid-Soft Wearable Hand Robot With Magnetorheological Cable-Driven Mechanism for Grasping Assistance
by: Ye Lu, et al.
Published: (2025-01-01) -
Validation of Cable-Driven Experimental Setup to Assess Movements Made with Elbow Joint Assistance
by: Sreejan Alapati, et al.
Published: (2025-02-01) -
Energy conservation-based on-line tuning of an analytical model for accurate estimation of multi-joint stiffness with joint modular soft actuators
by: Fuko Matsunaga, et al.
Published: (2025-01-01) -
Multilayer Neurolearning of Measurement-Information-Poor Hydraulic Robotic Manipulators with Disturbance Compensation
by: Guichao Yang, et al.
Published: (2025-02-01)