Prescott, T.J. orcid.org/0000-0003-4927-5390, Mitchinson, B. and Conran, S. (2017) MiRo: An animal-like companion robot with a biomimetic brain-based control system. In: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. 2017 ACM/IEEE International Conference on Human-Robot Interaction, 06/03/2017-09/03/2017, Vienna, Austria. ACM , pp. 50-51. ISBN 9781450348850
Abstract
© 2017 Authors.The MiRo robot is a new pet-sized mobile platform with an emotionally-engaging personality and appearance that has been developed for research on companion robotics and robot-assisted therapy. MiRo has six senses and eight degrees of freedom that are designed to promote human-robot interaction. A distinctive feature is the use of a biomimetic brain-based control system consisting of a layered control architecture alongside centralized mechanisms for integration and action selection. MiRo has been developed by Consequential Robotics, a spin-out of the University of Sheffield, and aims to provide the HRI community with a flexible platform for research and education.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Authors. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author(s). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 May 2017 09:00 |
Last Modified: | 20 Mar 2018 22:09 |
Published Version: | https://doi.org/10.1145/3029798.3036660 |
Status: | Published |
Publisher: | ACM |
Refereed: | Yes |
Identification Number: | 10.1145/3029798.3036660 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116446 |