Hands in the Real World.

benchmarking control design dexterous manipulation field robotics hands mechanisms sensing

Journal

Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350

Informations de publication

Date de publication:
2019
Historique:
received: 23 06 2019
accepted: 13 12 2019
entrez: 27 1 2021
pubmed: 28 1 2021
medline: 28 1 2021
Statut: epublish

Résumé

Robots face a rapidly expanding range of potential applications beyond controlled environments, from remote exploration and search-and-rescue to household assistance and agriculture. The focus of physical interaction is typically delegated to end-effectors-fixtures, grippers or hands-as these machines perform manual tasks. Yet, effective deployment of versatile robot hands in the real world is still limited to few examples, despite decades of dedicated research. In this paper we review hands that found application in the field, aiming to discuss open challenges with more articulated designs, discussing novel trends and perspectives. We hope to encourage swift development of capable robotic hands for long-term use in varied real world settings. The first part of the paper centers around progress in artificial hand design, identifying key functions for a variety of environments. The final part focuses on the overall trends in hand mechanics, sensors and control, and how performance and resiliency are qualified for real world deployment.

Identifiants

pubmed: 33501162
doi: 10.3389/frobt.2019.00147
pmc: PMC7806114
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

147

Informations de copyright

Copyright © 2020 Negrello, Stuart and Catalano.

Références

J Neurophysiol. 1995 May;73(5):2120-2
pubmed: 7623104
Sci Robot. 2016 Dec 6;1(1):
pubmed: 33157856
Front Neurosci. 2016 May 12;10:209
pubmed: 27242413
Mol Cell Biomech. 2015 Sep;12(3):147-95
pubmed: 27281955
IEEE Trans Neural Syst Rehabil Eng. 2015 Jul;23(4):600-9
pubmed: 25675462
IEEE Trans Neural Syst Rehabil Eng. 2017 May;25(5):459-468
pubmed: 27305682
IEEE Trans Neural Syst Rehabil Eng. 2012 Nov;20(6):798-805
pubmed: 22855230
Prosthet Orthot Int. 2007 Sep;31(3):236-57
pubmed: 17979010
Expert Rev Med Devices. 2013 Jan;10(1):45-54
pubmed: 23278223
Soft Robot. 2016 Dec 1;3(4):213-222
pubmed: 28078197
Auton Robots. 2003 Mar-May;14(2-3):127-45
pubmed: 12703511
Nat Rev Neurosci. 2009 May;10(5):345-59
pubmed: 19352402
Nat Commun. 2019 Jun 3;10(1):2401
pubmed: 31160580
Sci Robot. 2019 Aug 28;4(33):
pubmed: 33137785
Adv Mater. 2013 Dec 10;25(46):6709-13
pubmed: 24123311
PLoS One. 2018 Oct 15;13(10):e0205653
pubmed: 30321204
Sci Robot. 2017 Aug 16;2(9):
pubmed: 33157852
Soft Robot. 2016 Mar 1;3(1):23-33
pubmed: 27625917
J Neurosci. 1998 Dec 1;18(23):10105-15
pubmed: 9822764
Front Neurorobot. 2016 Aug 22;10:7
pubmed: 27597823

Auteurs

Francesca Negrello (F)

Soft Robotics for Human Cooperation and Rehabilitation, Italian Institute of Technology (IIT), Genova, Italy.

Hannah S Stuart (HS)

Embodied Dexterity Group, Department of Mechanical Engineering, University of California at Berkeley, Berkeley, CA, United States.

Manuel G Catalano (MG)

Soft Robotics for Human Cooperation and Rehabilitation, Italian Institute of Technology (IIT), Genova, Italy.

Classifications MeSH