Abstract: This paper presents a lightweight deep learning approach for classifying and tracking finger positions based on surface electromyography (sEMG) signals, designed with a perspective of its ...
Abstract: Lightweight impedance-controllable end-effectors are increasingly important in emerging applications involving physical human-robot interaction. Motivated by this need, this paper presents a ...
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