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

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  • Lucia Seminara
    University of Genoa
  • Strahinja Dosen
    Aalborg University
  • Fulvio Mastrogiovanni
    University of Genoa
  • Matteo Bianchi
    Università di Pisa
  • Simon Watt
  • Philipp Beckerle
    Friedrich-Alexander-University (FAU)
  • Thrishantha Nanayakkara
    Imperial College London
  • Knut Drewing
    Justus-Liebig University, Giessen
  • Alessandro Moscatelli
    University of Rome Tor Vergata
  • Roberta Klatzky
    Carnegie Mellon University
  • Gerald Loeb
    University of Southern California
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 sensorimotor controllers of the nervous system to link sensing to action in human-in-the-loop, haptically enabled, artificial hands.
Original languageEnglish
Article numbereadd5434
JournalScience Robotics
Volume8
Issue number78
DOIs
Publication statusPublished - 17 May 2023

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