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This study presents an electromyography (EMG)-based human-in-the-loop Bayesian optimization framework designed to optimize hip exoskeleton controllers for leg swinging, significantly reducing tuning time to an average of 142 seconds. The approach demonstrates a reduction in muscle activity by up to 21.7% compared to baseline conditions, indicating improved effectiveness over traditional metabolic cost methods. The findings suggest that this rapid optimization technique has potential for scalable and persona

Author

Matteo Lancini

Language

EN