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.

A hierarchical sensorimotor control framework for human-in-the-loop robotic hands

Bianchi, Matteo;
2023-01-01

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.
2023
Seminara, Lucia; Dosen, Strahinja; Mastrogiovanni, Fulvio; Bianchi, Matteo; Watt, Simon; Beckerle, Philipp; Nanayakkara, Thrishantha; Drewing, Knut; Moscatelli, Alessandro; Klatzky, Roberta L; Loeb, Gerald E
File in questo prodotto:
File Dimensione Formato  
Seminara Dosen et al Viewpoint Science Robotics 2023 (1).pdf

accesso aperto

Tipologia: Documento in Post-print
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.63 MB
Formato Adobe PDF
2.63 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1215210
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 3
social impact