human manual dexterity relies critically on touch. robotic and prosthetic hands are much less dexterous and make little use of the many tactile sensors available. we propose a framework modeled on the hierarchical sen-sorimotor controllers of the nervous system to link sensing to action in human-in-the-loop, haptically enabled, artificial hands.
Seminara, L., Dosen, S., Mastrogiovanni, F., Bianchi, M., Watt, S., Beckerle, P., et al. (2023). A hierarchical sensorimotor control framework for human-in-the-loop robotic hands. SCIENCE ROBOTICS, 8(78) [10.1126/scirobotics.add5434].
A hierarchical sensorimotor control framework for human-in-the-loop robotic hands
Moscatelli A.;
2023-05-17
Abstract
human manual dexterity relies critically on touch. robotic and prosthetic hands are much less dexterous and make little use of the many tactile sensors available. we propose a framework modeled on the hierarchical sen-sorimotor controllers of the nervous system to link sensing to action in human-in-the-loop, haptically enabled, artificial hands.File in questo prodotto:
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