Escalera, J.A., Doyle, M.J., Mondada, F. et al. (1 more author) (2018) Evo-bots: a simple, stochastic approach to self-assembling artificial organisms. In: Distributed Autonomous Robotic Systems: 13th International Symposium. DARS 2016, 07-09 Nov 2016, London, UK. Springer Proceedings in Advanced Robotics, 6 . Springer , pp. 373-385. ISBN 978-3-319-73006-6
Abstract
This paper describes an alternative path towards artificial life—one by which simple modular robots with novel hybrid motion control are used to represent artificial organisms. We outline conceptually how such a system would work, and present a partial hardware implementation. The hardware, a set of selfreconfigurable modules called the evo-bots, operates on an air table. The modules use a stop-start anchor mechanism to either rest or move. In the latter case, they undergo semi-random motion. The modules can search for, harvest and exchange energy. In addition, they can self-assemble, and thereby form compound structures. Six prototypes of the evo-bot modules were built. We experimentally demonstrate their key functions, namely hybrid motion control, energy harvesting and sharing, and simple structure formation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Springer International Publishing AG, part of Springer Nature. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/K033948/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Jan 2017 14:48 |
Last Modified: | 06 Sep 2019 09:37 |
Status: | Published |
Publisher: | Springer |
Series Name: | Springer Proceedings in Advanced Robotics |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-73008-0_26 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:110440 |