Continual Imitation Learning for Prosthetic Limbs

arXiv:2405.01114v1 Announce Type: new
Abstract: Lower limb amputations and neuromuscular impairments severely restrict mobility, necessitating advancements beyond conventional prosthetics. Motorized bionic limbs offer promise, but their utility depends on mimicking the evolving synergy of human movement in various settings. In this context, we present a novel model for bionic prostheses' application that leverages camera-based motion capture and wearable sensor data, to learn the synergistic coupling of the lower limbs during human locomotion, empowering it to infer the kinematic behavior of …

abstract application arxiv beyond bionic context continual cs.lg cs.ro human imitation learning mobility novel synergy type utility