In this study, we analyze different actuation configurations for bionic hands in order to improve their level of anthropomorphism. We used a previously developed benchmark, the anthropomorphism index (AI), for 15 different actuation configurations of hands from one to five actuators. By comparing the AI of these configurations, we obtained important conclusions regarding the actuation strategy of the anthropomorphic hands with a limited number of actuators. Results show that the actuation configuration is very important for increasing the level of anthropomorphism of the hands. It is shown that with an appropriate actuation configuration, a configuration with lower number of actuators can result in a higher AI than a configuration with higher number of actuators. We also showed the best actuation configurations for each category of 1–5 actuators. Results can be used as a guideline for development of hands with high anthropomorphism in terms of grasping postures.
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Actuation Configurations of Bionic Hands for a Better Anthropomorphism Index
Mahmoud Tavakoli
,
Mahmoud Tavakoli
Institute for Systems and Robotics,
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
e-mail: mahmoud@isr.uc.pt
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
e-mail: mahmoud@isr.uc.pt
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Baptiste Enes
,
Baptiste Enes
Institute for Systems and Robotics,
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
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Lino Marques
,
Lino Marques
Institute for Systems and Robotics,
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
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Thomas Feix
Thomas Feix
Department of Mechanical Engineering and Material Science,
Yale University,
New Haven, CT 06510
e-mail: thomasfeix@xief.net
Yale University,
New Haven, CT 06510
e-mail: thomasfeix@xief.net
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Mahmoud Tavakoli
Institute for Systems and Robotics,
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
e-mail: mahmoud@isr.uc.pt
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
e-mail: mahmoud@isr.uc.pt
Baptiste Enes
Institute for Systems and Robotics,
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
Lino Marques
Institute for Systems and Robotics,
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
Department of Electrical and Computer Engineering,
University of Coimbra,
Coimbra, Portugal
Thomas Feix
Department of Mechanical Engineering and Material Science,
Yale University,
New Haven, CT 06510
e-mail: thomasfeix@xief.net
Yale University,
New Haven, CT 06510
e-mail: thomasfeix@xief.net
Manuscript received April 6, 2015; final manuscript received December 10, 2015; published online March 7, 2016. Assoc. Editor: Jun Ueda.
J. Mechanisms Robotics. Aug 2016, 8(4): 044502 (4 pages)
Published Online: March 7, 2016
Article history
Received:
April 6, 2015
Revised:
December 10, 2015
Citation
Tavakoli, M., Enes, B., Marques, L., and Feix, T. (March 7, 2016). "Actuation Configurations of Bionic Hands for a Better Anthropomorphism Index." ASME. J. Mechanisms Robotics. August 2016; 8(4): 044502. https://doi.org/10.1115/1.4032405
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