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

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

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Dangosydd eitem ddigidol (DOI)

  • Lucia Seminara
    University of Genoa
  • Strahinja Dosen
    Aalborg University
  • Fulvio Mastrogiovanni
    University of Genoa
  • Matteo Bianchi
    Università di Pisa
  • Simon Watt
    Ysgol Seicoleg a Gwyddor Chwaraeon
  • Philipp Beckerle
    Friedrich-Alexander-University (FAU)
  • Thrishantha Nanayakkara
    Grand Challenges in Ecosystem and the Environment Initiative, Imperial College London, Silwood Park Campus, Ascot, Berkshire SL5 7PY, UK alexander.papadopulos@plants.ox.ac.uk.
  • 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.
Iaith wreiddiolSaesneg
Rhif yr erthygleadd5434
CyfnodolynScience Robotics
Cyfrol8
Rhif y cyfnodolyn78
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 17 Mai 2023

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