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Kilobot: A low cost scalable robot system for collective behaviors

Open access
Rubenstein, Michael, Ahler, Christian, Nagpal, Radhika·2012·2012 IEEE International Conference on Robotics and Automation

Abstract

In current robotics research there is a vast body of work on algorithms and control methods for groups of decentralized cooperating robots, called a swarm or collective. These algorithms are generally meant to control collectives of hundreds or even thousands of robots; however, for reasons of cost, time, or complexity, they are generally validated in simulation only, or on a group of a few tens of robots. To address this issue, this paper presents Kilobot, a low-cost robot designed to make testing collective algorithms on hundreds or thousands of robots accessible to robotics researchers. To enable the possibility of large Kilobot collectives where the number of robots is an order of magnitude larger than the largest that exist today, each robot is made with only $14 worth of parts and takes 5 minutes to assemble. Furthermore, the robot design allows a single user to easily operate a large Kilobot collective, such as programming, powering on, and charging all robots, which would be difficult or impossible to do with many existing robotic systems.

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Metadata

Authors
Rubenstein, M., Ahler, C., & Nagpal, R.
Venue
2012 IEEE International Conference on Robotics and Automation
Publisher
IEEE
Published
2012-05
Pages
3293-3298
ISSN
1050-4729 (ISSN-L)
OpenAlex
W1982636603
Cited by
629
References
0
FWCI
82.44
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Kilobot: A low cost scalable robot system for collective behaviors. https://app.cochat.ai/papers/10.1109/icra.2012.6224638
The paper
Rubenstein, M., Ahler, C., & Nagpal, R. (2012). Kilobot: A low cost scalable robot system for collective behaviors. 2012 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/icra.2012.6224638

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