Billington, A., Walton, G., Whitbread, J. et al. (1 more author) (2017) Using the robot operating system for biomimetic research. In: Mangan, M., Cutkosky, M., Mura, A., Verschure, P.F.M.J., Prescott, T. and Lepora, N., (eds.) Biomimetic and Biohybrid Systems: 6th International Conference, Living Machines 2017, Stanford, CA, USA, July 26–28, 2017, Proceedings. 6th International Conference, Living Machines 2017, 26-28 Jul 2017, Stanford, CA, USA. Lecture Notes in Computer Science, LNAI 10384 . Springer International Publishing , pp. 515-521. ISBN 9783319635361
Abstract
Biomimetics seeks to reveal the methods by which natural systems solve complex tasks and abstract principles for development of novel technological solutions. If these outcomes are to either explain behaviour, or be applied in commercial settings, they must be verified on robot platforms in natural environments. Yet development and testing of hypothesis in real robots remains sufficiently challenging for many in this highly cross-disciplinary research field that it is often omitted from biomimetic studies. Here we evaluate whether the Robot Operating Systems (ROS) can address this issue taking desert ant navigation as a case study. We demonstrate and discuss both the strengths and weaknesses of the current ROS implementation with regard to the specific needs of biomimetic researchers of varying technical experience, and describe the establishment of our central code repository with user guides to aid novice users.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2017 Springer International Publishing AG. |
Keywords: | Navigation; Insect; Robot; Robot Operating System; Path integration; Visual compass |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/M008479/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Jun 2023 11:03 |
Last Modified: | 08 Jun 2023 11:03 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-63537-8_44 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:199934 |