Reachy, a 3D-Printed Human-Like Robotic Arm as a Testbed for Human-Robot Control Strategies.
3D printing
humanoid robot
open-source
rehabilitation engineering
research testbed
robotic arm
Journal
Frontiers in neurorobotics
ISSN: 1662-5218
Titre abrégé: Front Neurorobot
Pays: Switzerland
ID NLM: 101477958
Informations de publication
Date de publication:
2019
2019
Historique:
received:
03
04
2019
accepted:
29
07
2019
entrez:
3
9
2019
pubmed:
3
9
2019
medline:
3
9
2019
Statut:
epublish
Résumé
To this day, despite the increasing motor capability of robotic devices, elaborating efficient control strategies is still a key challenge in the field of humanoid robotic arms. In particular, providing a human "pilot" with efficient ways to drive such a robotic arm requires thorough testing prior to integration into a finished system. Additionally, when it is needed to preserve anatomical consistency between pilot and robot, such testing requires to employ devices showing human-like features. To fulfill this need for a biomimetic test platform, we present Reachy, a human-like life-scale robotic arm with seven joints from shoulder to wrist. Although Reachy does not include a poly-articulated hand and is therefore more suitable for studying reaching than manipulation, a robotic hand prototype from available third-party projects could be integrated to it. Its 3D-printed structure and off-the-shelf actuators make it inexpensive relatively to the price of an industrial-grade robot. Using an open-source architecture, its design makes it broadly connectable and customizable, so it can be integrated into many applications. To illustrate how Reachy can connect to external devices, this paper presents several proofs of concept where it is operated with various control strategies, such as tele-operation or gaze-driven control. In this way, Reachy can help researchers to explore, develop and test innovative control strategies and interfaces on a human-like robot.
Identifiants
pubmed: 31474846
doi: 10.3389/fnbot.2019.00065
pmc: PMC6703080
doi:
Types de publication
Journal Article
Langues
eng
Pagination
65Références
IEEE Trans Neural Syst Rehabil Eng. 2007 Mar;15(1):9-15
pubmed: 17436870
Prosthet Orthot Int. 2007 Sep;31(3):236-57
pubmed: 17979010
J Neuroeng Rehabil. 2011 May 22;8:29
pubmed: 21600048
IEEE Trans Biomed Eng. 2013 Mar;60(3):792-802
pubmed: 22287229
IEEE Trans Neural Syst Rehabil Eng. 2013 Jul;21(4):674-83
pubmed: 23529107
IEEE Int Conf Rehabil Robot. 2013 Jun;2013:6650441
pubmed: 24187259
IEEE Trans Neural Syst Rehabil Eng. 2014 Jul;22(4):784-96
pubmed: 24760914
J Neural Eng. 2014 Aug;11(4):046001
pubmed: 24891493
Front Neurosci. 2014 May 23;8:123
pubmed: 24904265
IEEE Trans Neural Syst Rehabil Eng. 2016 May;24(5):562-72
pubmed: 26087495
J Electromyogr Kinesiol. 2016 Aug;29:21-7
pubmed: 26190031
J Neural Eng. 2015 Dec;12(6):066022
pubmed: 26529274
Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:1476-9
pubmed: 26736549
Front Neurosci. 2016 May 12;10:209
pubmed: 27242413
Comput Intell Neurosci. 2016;2016:5720163
pubmed: 27610129
Disabil Rehabil Assist Technol. 2017 Apr;12(3):300-314
pubmed: 28152642
J Neural Eng. 2017 Jun;14(3):036007
pubmed: 28355147
IEEE Trans Neural Syst Rehabil Eng. 2018 Jul;26(7):1407-1413
pubmed: 29985150