arXiv Machine Learning August 4, 2026 By Yifei Yuan, Jakob Wolf, Ghaith Androwis, Xianlian Zhou

Staged Multi-Agent Training (SMAT) for Hip Exoskeletons: Metabolic and Biomechanical Validation of a Simulation-Trained Co-Adaptive Controller

Read the original on arXiv Machine Learning →

arXiv:2608. 00715v1 Announce Type: cross Abstract: Learning-based controllers can deliver exoskeleton assistance after training entirely in physics-based simulation, yet few controllers that address human-device co-adaptation have been validated on real users by whole-body metabolic measurement, the standard benchmark for assistive walking.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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