Gait Asymmetry from Unilateral Weakness and Improvement With Ankle Assistance: a Reinforcement Learning based Simulation Study
Yifei Yuan, Ghaith Androwis, and Xianlian Zhou

TL;DR
This study uses reinforcement learning-based musculoskeletal simulations to quantify gait asymmetry caused by unilateral weakness and assess ankle exoskeleton assistance effectiveness, supporting early development of assistive strategies.
Contribution
It introduces a novel simulation framework combining reinforcement learning and musculoskeletal modeling to evaluate gait asymmetry and assistive interventions.
Findings
Increasing unilateral weakness causes greater gait asymmetry, especially at the ankle.
Ankle exoskeleton assistance improves kinematic symmetry at 50% strength.
Load bias toward the unimpaired limb persists despite assistance.
Abstract
Unilateral muscle weakness often leads to asymmetric gait, disrupting interlimb coordination and stance timing. This study presents a reinforcement learning (RL) based musculoskeletal simulation framework to (1) quantify how progressive unilateral muscle weakness affects gait symmetry and (2) evaluate whether ankle exoskeleton assistance can improve gait symmetry under impaired conditions. The overarching goal is to establish a simulation- and learning-based workflow that supports early controller development prior to patient experiments. Asymmetric gait was induced by reducing right-leg muscle strength to 75%, 50%, and 25% of baseline. Gait asymmetry was quantified using toe-off timing, peak contact forces, and joint-level symmetry metrics. Increasing weakness produced progressively larger temporal and kinematic asymmetry, most pronounced at the ankle. Ankle range of motion symmetry…
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Taxonomy
TopicsProsthetics and Rehabilitation Robotics · Balance, Gait, and Falls Prevention · Muscle activation and electromyography studies
