sEMG-Based Minimally Supervised Regression Using Soft-DTW Neural Networks for Robot Hand Grasping Control
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DOI: 10.1109/lra.2022.3193247
Abstract: One of the major challenges in robotics consists in developing successful control strategies for robotic grasping devices. In this scenario, one of the most interesting approaches regards the exploitation of surface electromyography(sEMG). In this work,… read more here.
Keywords: semg based; soft dtw; regression; control ... See more keywords