A hierarchical sensorimotor control framework for human-in-the-loop robotic hands.
File(s)
Author(s)
Type
Journal Article
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 sensorimotor controllers of the nervous system to link sensing to action in human-in-the-loop, haptically enabled, artificial hands.
Date Issued
2023-05-17
Date Acceptance
2023-05-01
Citation
Science Robotics, 2023, 8 (78), pp.1-8
ISSN
2470-9476
Publisher
American Association for the Advancement of Science
Start Page
1
End Page
8
Journal / Book Title
Science Robotics
Volume
8
Issue
78
Copyright Statement
Copyright © 2023 Owner. This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science Robotics on 8, 2023, DOI: https://doi.org/10.1126/scirobotics.add5434
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/37196072
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2023-05-17