Collective Robotics: From Social Insects to Robots
Abstract
Achieving tasks with multiple robots will require a control system that is both simple and scalable as the number of robots increases. Collective behavior as demonstrated by social insects is a form of decentralized control that may prove useful in controlling multiple robots. Nature's several examples of collective behavior have motivated our approach to controlling a multiple robot system using a group behavior. Our mechanisms, used to invoke the group behavior, allow the system of robots to perform tasks without centralized control or explicit communication. We have constructed a system of five mobile robots capable of achieving simple collective tasks to verify the results obtained in simulation. The results suggest that decentralized control without explicit communication can be used to perform cooperative tasks requiring a collective behavior.
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Different ways have been proposed to control or steer robot swarms directly by the user, such as through gestures or EEG signals.
“Alternatively, robot swarms could be controlled or steered directly by the user, and different ways have been proposed, such as through gestures [108], [109] or EEG signals [110].”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [109]
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- Authors
- Kube, C. R., & Zhang, H.
- Affiliations
- University of Alberta (CA)
- ORCID
- Hong Zhang
- Venue
- Adaptive Behavior
- Publisher
- SAGE Publications
- Published
- 1993-09
- Volume
- 2
- Issue
- 2
- Pages
- 189-218
- ISSN
- 1059-7123 (ISSN-L)
- 1741-2633
- OpenAlex
- W2013419160
- Cited by
- 338
- References
- 47
- Citations by year
- 2026: 8 · 2025: 3 · 2024: 7 · 2023: 8 · 2022: 6 · 2021: 13 · 2020: 9 · 2019: 3 · 2018: 17 · 2017: 6 · 2016: 10 · 2015: 11 · 2014: 12 · 2013: 12 · 2012: 11
- FWCI
- 7.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Adaptive Behavior (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
- Keywords
- collective robotics, social insects, decentralized control, multi-robot systems, group behavior, swarm robotics, collaborative tasks, scalability, mobile robots
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