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.
17-mag-2023
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore BIO/09
English
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].
Seminara, L; Dosen, S; Mastrogiovanni, F; Bianchi, M; Watt, S; Beckerle, P; Nanayakkara, T; Drewing, K; Moscatelli, A; Klatzky, Rl; Loeb, Ge
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/348308
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