Allen, Jacob, Joyce, Russell Andrew orcid.org/0000-0002-6773-3837, Millard, Alan Gregory orcid.org/0000-0002-4424-5953 et al. (1 more author) (2020) The Pi-puck Ecosystem:Hardware and Software Support for the e-puck and e-puck2. In: Dorigo, Marco, Stützle, Thomas, Blesa, Maria J., Blum, Christian, Hamann, Heiko, Heinrich, Mary Katherine and Strobel, Volker, (eds.) Swarm Intelligence. ANTS 2020. International Conference on Swarm Intelligence, 26-28 Oct 2020 Lecture Notes in Computer Science . Springer , ESP , pp. 243-255.
Abstract
This paper presents a hardware revision of the Pi-puck extension board that now includes support for the e-puck2. This Raspberry Pi interface for the e-puck robot provides a feature-rich experimentation platform suitable for multi-robot and swarm robotics research. We also present a new expansion board that features a 9-DOF IMU and XBee interface for increased functionality. We detail the revised Pi-puck hardware and software ecosystem, including ROS support that now allows mobile robotics algorithms and utilities developed by the ROS community to be leveraged by swarm robotics researchers. We also present the results of an illustrative multi-robot mapping experiment using new long-range Time-of-Flight distance sensor modules, to demonstrate the ease-of use and efficacy of this new Pi-puck ecosystem.
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Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 02 Feb 2021 12:10 |
Last Modified: | 10 Dec 2024 00:26 |
Published Version: | https://doi.org/10.1007/978-3-030-60376-2_19 |
Status: | Published |
Publisher: | Springer |
Series Name: | Lecture Notes in Computer Science |
Identification Number: | 10.1007/978-3-030-60376-2_19 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:170703 |
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