Design and Validation of a Robotic Knee Exoskeleton with Musculoskeletal Simulation-Derived Biological Torque Control
Overview
This paper presents an open-source robotic knee exoskeleton built from off-the-shelf components, featuring a biological torque controller derived entirely from simulation. By using a muscle-driven imitation policy trained on an open biomechanics dataset to reproduce squatting motions, the system distills knee moments into an estimator that relies solely on onboard sensors, eliminating the need for device-specific data collection. Validation with seven able-bodied participants showed that assistance reduced peak biological knee extension moment by 21.5% and peak vastus medialis activation by 26.7% during squatting compared to unassisted squatting (p<0.05). The results demonstrate successful transfer of a simulation-derived controller to physical hardware, enabling research groups to train and compare controllers on shared hardware without additional data collection overhead.
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Event evidence and corrections
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Reported quantity · peak biological knee extension moment reduction: 21.5 other · reported trials
“ven imitation policy reproduces squatting motions from an open biomechanics dataset, and the resulting knee moments are distilled into an estimator that uses only onboard sensors, so no training data are recorded on the device. In seven able-bodied participants, assistance reduced peak biological knee extension moment by 21.5% and peak vastus medialis activation by 26.7% during squatting, relative to squatting withou”
Exact source · revision 1Source owner not reported
Reported quantity · peak vastus medialis activation reduction: 26.7 other · reported trials
“ven imitation policy reproduces squatting motions from an open biomechanics dataset, and the resulting knee moments are distilled into an estimator that uses only onboard sensors, so no training data are recorded on the device. In seven able-bodied participants, assistance reduced peak biological knee extension moment by 21.5% and peak vastus medialis activation by 26.7% during squatting, relative to squatting withou”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalDesign and Validation of a Robotic Knee Exoskeleton with Musculoskeletal Simulation-Derived Biological Torque Control
This paper presents an open-source robotic knee exoskeleton built from off-the-shelf components, featuring a biological torque controller derived entirely from simulation. By using a muscle-driven imitation policy trained on an open biomechanics dataset to reproduce squatting motions, the system distills knee moments into an estimator that relies solely on onboard sensors, eliminating the need for device-specific data collection. Validation with seven able-bodied participants showed that assistance reduced peak biological knee extension moment by 21.5% and peak vastus medialis activation by 26.7% during squatting compared to unassisted squatting (p<0.05). The results demonstrate successful transfer of a simulation-derived controller to physical hardware, enabling research groups to train and compare controllers on shared hardware without additional data collection overhead.
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