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The Robotarium: A remotely accessible swarm robotics research testbed

Open access
Pickem, Daniel, Glotfelter, Paul, Wang, Li, Mote, Mark, Ames, Aaron, Feron, Eric, Egerstedt, Magnus·2017·2017 IEEE International Conference on Robotics and Automation (ICRA)

Abstract

This paper describes the Robotarium -- a remotely accessible, multi-robot research facility. The impetus behind the Robotarium is that multi-robot testbeds constitute an integral and essential part of the multi-robot research cycle, yet they are expensive, complex, and time-consuming to develop, operate, and maintain. These resource constraints, in turn, limit access for large groups of researchers and students, which is what the Robotarium is remedying by providing users with remote access to a state-of-the-art multi-robot test facility. This paper details the design and operation of the Robotarium and discusses the considerations one must take when making complex hardware remotely accessible. In particular, safety must be built into the system already at the design phase without overly constraining what coordinated control programs users can upload and execute, which calls for minimally invasive safety routines with provable performance guarantees.

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Metadata

Authors
Pickem, D., Glotfelter, P., Wang, L., Mote, M., Ames, A., Feron, E., & Egerstedt, M.
Venue
2017 IEEE International Conference on Robotics and Automation (ICRA)
Publisher
IEEE
Published
2017-05
Pages
1699-1706
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2521943001
Cited by
358
References
0
FWCI
101.79
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: The Robotarium: A remotely accessible swarm robotics research testbed. https://app.cochat.ai/papers/10.1109/icra.2017.7989200
The paper
Pickem, D., Glotfelter, P., Wang, L., Mote, M., Ames, A., Feron, E., & Egerstedt, M. (2017). The Robotarium: A remotely accessible swarm robotics research testbed. 2017 IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra.2017.7989200

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.