Self-Organized Aggregation Triggers Collective Decision Making in a Group of Cockroach-Like Robots
Open accessAbstract
Self-amplification processes are at the origin of several collective decision phenomena in insect societies. Understanding these processes requires linking individual behavioral rules of insects to a choice dynamics at the colony level. In a homogeneous environment, the German cockroach Blattella germanica displays self-amplified aggregation behavior. In a heterogeneous environment where several shelters are present, groups of cockroaches collectively select one of them. In this article, we demonstrate that the restriction of the self-amplified aggregation behavior to distinct zones in the environment can explain the emergence of a collective decision at the level of the group. This hypothesis is tested with robotics experiments and dedicated computer simulations. We show that the collective decision is influenced by the available spaces to explore and to aggregate in, by the size of the population involved in the aggregation process and by the probability of encounter zones while the robots explore the environment. We finally discuss these results from both a biological and a robotics point of view.
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The main result of the Swarm-bots project was to demonstrate what-at the present day-remains the only example of self-organized teams of robots that cooperate to solve a complex task, with the robots in the swarm taking different roles over time.
“The main result of the project was to demonstrate what-at the present day-remains the only example of self-organized teams of robots that cooperate to solve a complex task, with the robots in the swarm taking different roles over time [27].”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [27]
Cites
Self-Organization in Biological Systems
Sneyd, J., Theraula, G., Bonabeau, E., Deneubourg, J.-L., & Franks, N. R. (2001) · doi:10.1515/9780691212920 · Cited by 2,949 · see citing works
Ant-like task allocation and recruitment in cooperative robots
Krieger, M. J. B., Billeter, J.-B., & Keller, L. (2000) · Nature · doi:10.1038/35023164 · Cited by 352 · see citing works
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Swarm Robotics: Past, Present, and Future [Point of View]
Dorigo, M., Theraulaz, G., & Trianni, V. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3072740 · Cited by 401 · see citing works
Self-citationAutomatic design of stigmergy-based behaviours for robot swarms
Salman, M., Garzón Ramos, D., & Birattari, M. (2024) · Communications Engineering · doi:10.1038/s44172-024-00175-7 · Cited by 26 · see citing works
“A robot swarm, like an insect colony, can use pheromone-based indirect communication mediated by the environment 13 .”
Background
- Authors
- Garnier, S., Gautrais, J., Asadpour, M., Jost, C., & Theraulaz, G.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Centre de Recherches sur la Cognition Animale, CNRS-UMR 5169, Université Paul Sabatier
- École Polytechnique Fédérale de Lausanne (CH)
- Corresponding author
- Garnier, Simon
- Venue
- Adaptive Behavior
- Publisher
- SAGE Publications
- Published
- 2009-03-17
- Volume
- 17
- Issue
- 2
- Pages
- 109-133
- ISSN
- 1059-7123 (ISSN-L)
- 1741-2633
- OpenAlex
- W2097991842
- Cited by
- 94
- References
- 2
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 6 · 2022: 4 · 2021: 9 · 2020: 10 · 2019: 9 · 2018: 9 · 2017: 7 · 2016: 4 · 2015: 8 · 2014: 3 · 2013: 2 · 2012: 4
- FWCI
- 11.35
- Type
- journal article
- Language
- en
- Open access
- green
- infoscience.epfl.ch
- Locations
- Adaptive Behavior (publishedVersion)
- HAL (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- 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 › Ocean Engineering › Evacuation and Crowd Dynamics
- Keywords
- group decision making, Blattella germanica, multi-robot systems, swarm robotics, environmental heterogeneity, shelter selection, population size, exploration, emergence
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