An anthropomorphic soft skeleton hand exploiting conditional models for piano playing.
View / Open Files
Publication Date
2018-12-19Journal Title
Sci Robot
ISSN
2470-9476
Publisher
American Association for the Advancement of Science (AAAS)
Volume
3
Issue
25
Language
eng
Type
Article
This Version
AM
Physical Medium
Print
Metadata
Show full item recordCitation
Hughes, J., Maiolino, P., & Iida, F. (2018). An anthropomorphic soft skeleton hand exploiting conditional models for piano playing.. Sci Robot, 3 (25) https://doi.org/10.1126/scirobotics.aau3098
Abstract
The development of robotic manipulators and hands that show dexterity, adaptability, and subtle behavior comparable to human hands is an unsolved research challenge. In this article, we considered the passive dynamics of mechanically complex systems, such as a skeleton hand, as an approach to improving adaptability, dexterity, and richness of behavioral diversity of such robotic manipulators. With the use of state-of-the-art multimaterial three-dimensional printing technologies, it is possible to design and construct complex passive structures, namely, a complex anthropomorphic skeleton hand that shows anisotropic mechanical stiffness. We introduce a concept, termed the "conditional model," that exploits the anisotropic stiffness of complex soft-rigid hybrid systems. In this approach, the physical configuration, environment conditions, and conditional actuation (applied actuation) resulted in an observable conditional model, allowing joint actuation through passivity-based dynamic interactions. The conditional model approach allowed the physical configuration and actuation to be altered, enabling a single skeleton hand to perform three different phrases of piano music with varying styles and forms and facilitating improved dynamic behaviors and interactions with the piano over those achievable with a rigid end effector.
Keywords
Bioengineering
Sponsorship
EPSRC (1503637)
Engineering and Physical Sciences Research Council (EP/N029003/1)
Engineering and Physical Sciences Research Council (EP/L015889/1)
Identifiers
External DOI: https://doi.org/10.1126/scirobotics.aau3098
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287605
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk