Pratissoli, F., Reina, A., Kaszubowski Lopes, Y. et al. (2 more authors) (2019) A soft-bodied modular reconfigurable robotic system composed of interconnected Kilobots. In: Proceedings of the 2nd IEEE International Symposium on Multi-Robot and Multi-Agent Systems. 2nd IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS'19), 22-23 Aug 2019, New Brunswick, NJ, USA. IEEE , pp. 50-52. ISBN 9781728128771
Abstract
We describe the Kilobot Soft Robot, a novel soft-bodied robot that is modular and reconfigurable. The Kilobot Soft Robot is realized by inter-connecting a group of miniature mobile modules, based on the commercially available Kilobot, through an elastic material. It moves and deforms fully autonomously. Each module executes a distributed algorithm that exploits only information that is locally obtained using omnidirectional, infrared based signaling. A series of experiments were conducted to validate the algorithm, investigating the ability of the robot to follow a predefined trajectory, to squeeze and extend its shape and to control its motion independently of the number of modules.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 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. |
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) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Aug 2019 10:10 |
Last Modified: | 14 Nov 2020 01:39 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/MRS.2019.8901061 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149452 |