Aug 2026· Engineering, Technology & Applied Science Research· 0 citations· 13 references
TL;DR
A Two-Degree-of-Freedom lower-limb exoskeleton for rehabilitation applications that combines trajectory tracking control with a force-feedback control system to improve human–exoskeleton interaction during rehabilitation movements is developed.
Abstract
This study develops a Two-Degree-of-Freedom (2-DoF) lower-limb exoskeleton for rehabilitation applications. The system combines trajectory tracking control with a force-feedback control system to improve human–exoskeleton interaction during rehabilitation movements. Real-time force information is incorporated into the control framework to adjust joint motion according to the interaction conditions between the user and the exoskeleton. A kinematic and dynamic model of the system is established and evaluated through MATLAB simulation. Experimental evaluations are conducted using both single- and dual-force sensor configurations. The results show that the dual-force sensor configuration provides enhanced motion stability and lower oscillatory behavior compared with the single-force sensor configuration. The integration of trajectory tracking control and force-feedback control contributes to smoother movement, enhanced stability, and better rehabilitation performance. These results support the application of force-based interaction control in lower-limb rehabilitation exoskeletons.
This study aims to develop a phased control strategy for a hydraulic lower-limb exoskeleton that incorporates motion intention prediction to provide effective and stable walking assistance for users.
An inertial measurement unit (IMU)-based long short-term memory (LSTM) network was developed to predict lower...
Ya-Li Han, Hong-Wei Zhong, Quan Xu et al.· Industrial robot· 0 citations
The proposed BS–ST-SMC architecture outperforms classical and traditional robust approaches, particularly in mitigating chattering and managing human–robot interaction uncertainties, particularly in mitigating chattering and managing human–robot interaction uncertainties.
Yukio Rosales-Luengas, Sergio Salazar, Saúl J. Rangel-Popoca et al.· Electronics· 0 citations
Fixed assistance cannot match changing lower-limb motor capability, while excessive intervention can suppress voluntary effort. This paper proposes assistance-as-needed control using position-velocity dual impedance. The framework defines a motion-state parameter from trajectory error and human-robot interaction force;...
Wei-Tong Wang, Zhi-Ming Wang· 2026 International Conferenc...· 0 citations
Lower limb exoskeletons and mobile robots hold great potential in improving motor function rehabilitation for patients with limb dysfunction. However, their widespread application is limited by the substantial time and effort investment required from professional rehabilitation therapists. A significant challenge in ac...
Wei-Tian He, Xinhao Zhang, Qin-Chen Yang et al.· IEEE Transactions on Automat...· 0 citations
Lower-limb rehabilitation exoskeletons are often discussed in terms of mechanics, sensing, and control, yet their rehabilitation value depends on how these elements work together during human–robot interaction. This review focuses on the integration of sensing, compliant actuation, and assist-as-needed control in lower...
Lian-Cheng Zheng, Rizuaddin Ramli, Mingtao Li et al.· Frontiers of Mechanical Engi...· 0 citations
This work presented a biomechanically informed model and analysis of a 5-degree-of-freedom shoulder exoskeleton, constructed on a spatial parallel mechanism with a universal-prismatic-spherical joint configuration. The primary aim of the shoulder exoskeleton mechanism was to ensure the human shoulder’s natural moveme...
A. Rout, Ekta Singla· Robotica (Cambridge. Print)· 0 citations
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