Aug 2026· Design for Augmented Humanity· Vol 1, pp. 242 - 267· 1 citation· 63 references
TL;DR
Design, modeling, and experimental validation of a self-reconfigurable parallel ankle rehabilitation platform demonstrate the approach’s feasibility, demonstrating stable trajectory tracking and setpoint regulation under practical conditions, with minor deviations attributable to actuator and mechanical nonlinearities.
Abstract
This paper presents design, modeling, and experimental validation of a self-reconfigurable parallel ankle rehabilitation platform. The proposed system employs a three-limb parallel mechanism with mechanically reconfigurable joints, enabling seamless transition between static mobilization and dynamic gait-oriented operation while preserving alignment with the anatomical ankle joint center. A position-level inverse kinematics formulation is developed to directly compute actuator lengths from desired platform orientation, eliminating drift associated with velocity-integration approaches. The corresponding Jacobian matrix is derived to describe the velocity relationship and is evaluated over the rehabilitation workspace to ensure nonsingular operation. A closed-loop control framework based on Jacobian mapping and Lyapunov-guided design is implemented for stable motion tracking. Simulation results demonstrate accurate tracking of multi-axis trajectories with limited cross-axis coupling. Experimental validation on a physical prototype confirms the approach’s feasibility, demonstrating stable trajectory tracking and setpoint regulation under practical conditions, with minor deviations attributable to actuator and mechanical nonlinearities. The results highlight the potential of the proposed self-reconfigurable parallel architecture for anatomically consistent, adaptive ankle rehabilitation in both clinical and home-based settings.
This study presents a shape memory alloy (SMA)-driven upper-limb rehabilitation exoskeleton for assisting elbow and wrist joint motions that confirms the feasibility of SMA-based lightweight rehabilitation systems while highlighting the influence of SMA thermal dynamics on system performance.
Sun-Ke Zhu, Mingwei Liu, Lei Wang et al.· Engineering Research Express· 0 citations
To enhance the efficacy and safety of rehabilitation, this study presents a bionic ankle rehabilitation mechanism integrated with a posture-switching function. The device utilizes a parallelogram mechanism to address the challenges of sit-to-stand (STS) transition assistance. By synergizing a dual crank-linkage with a...
Kun Liu, Jialun He, Xiaodong Huang et al.· 2026 IEEE International Conf...· 0 citations
This study develops an adaptive trajectory-tracking method driven by an RBF neural network that yields faster error attenuation, smaller steady-state oscillation, along with improved resistance to disturbances in the hip and knee motions.
Yuhui Yang, Chao Yang, Yuanxiang Guo et al.· International Conference on...· 0 citations
This paper presents a feasibility study of an active ankle assist mechanism based on a four-link model representing single-leg stance dynamics. A dynamic model with two actuated ankle joints is derived, and an invariant-manifold-based nonlinear stabilization controller is designed. For practical motor implementation, t...
Kotone Takano, Jun Ishikawa· 2026 IEEE/ASME International...· 0 citations
Simulation and experimental results demonstrate that compared to traditional PID control and sliding mode control (SMC), the ARCEC method exhibits significant advantages in trajectory tracking accuracy, enabling the lower-limb exoskeleton to precisely track human gait curves.
Chao Yang, Xin Han, Zhijue Huang et al.· International Conference on...· 0 citations
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.
Khin Yadana Kyaw, D. Maneetham, Myo Min Aung· Engineering, Technology &...· 0 citations
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