Unsupervised Sim-to-Real Adaptation for Environmental Recognition in Assistive Walking
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DOI: 10.1109/tnsre.2022.3176410
Abstract: Powered lower-limb prostheses with vision sensors are expected to restore amputees’ mobility in various environments with supervised learning-based environmental recognition. Due to the sim-to-real gap, such as real-world unstructured terrains and the perspective and performance… read more here.
Keywords: adaptation; environmental recognition; sim real; real world ... See more keywords