Bray, E. and Gross, R. orcid.org/0000-0003-1826-1375 (2021) Distributed self-assembly of cantilevers by force-aware robots. In: Proceedings of 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS). 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 04-05 Nov 2021, Cambridge, UK. IEEE , pp. 110-118. ISBN 9781665429276
Abstract
Inspired by how ants construct bridges out of their bodies, this paper investigates how a swarm of autonomous robotic agents could self-assemble into cantilevers as a first step towards constructing bridges. Two distributed self-assembly algorithms are presented that consider local force information to ensure links between agents do not break: one in which agents move one at a time, and another where multiple agents move simultaneously. The algorithms are tested in simulation for a variety of allowable link strengths, and are verified to be able to construct cantilevers of a near-optimum length. A slight decrease in cantilever length is observed when multiple agents move concurrently, but construction is completed significantly faster. Prototype hardware to measure the forces in links between real agents is also presented, demonstrating how the concept could be applied to the real world.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Bridges; Self-assembly; Force measurement; Force; Prototypes; Swarm robotics; Strain measurement |
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) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Nov 2021 09:35 |
Last Modified: | 07 Dec 2022 01:13 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/MRS50823.2021.9620697 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:180218 |