Stigmergy, Self-Organization, and Sorting in Collective Robotics
Abstract
Many structures built by social insects are the outcome of a process of self-organization, in which the repeated actions of the insects interact over time with the changing physical environment to produce a characteristic end state. A major mediating factor is stigmergy, the elicitation of specific environment-changing behaviors by the sensory effects of local environmental changes produced by previous behavior. A typical task involving stigmergic self-organization is brood sorting: Many ant species sort their brood so that items at similar stages of development are grouped together and separated from items at different stages of development. This article examines the operation of stigmergy and self-organization in a homogeneous group of physical robots, in the context of the task of clustering and sorting Frisbees of two different types. Using a behavioral rule set simpler than any yet proposed for ant sorting, and having no capacity for spatial orientation or memory, the robots are able to achieve effective clustering and sorting showing all the signs of self-organization. It is argued that the success of this demonstration is crucially dependent on the exploitation of real-world physics, and that the use of simulation alone to investigate stigmergy may fail to reveal its power as an evolutionary option for collective life forms.
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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 [108]
Cites
Grassé, P.-P. (1959) · Insectes Sociaux · doi:10.1007/bf02223791 · Cited by 1,236 · 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
Reflections on the future of swarm robotics
Dorigo, M., Theraulaz, G., & Trianni, V. (2020) · Science Robotics · doi:10.1126/scirobotics.abe4385 · Cited by 282 · see citing works
Stigmergy as a universal coordination mechanism I: Definition and components
Heylighen, F. (2016) · Cognitive Systems Research · doi:10.1016/j.cogsys.2015.12.002 · Cited by 240 · see citing works
Cognitive Stigmergy: Towards a Framework Based on Agents and Artifacts
Ricci, A., Omicini, A., Viroli, M., Gardelli, L., & Oliva, E. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-71103-2_7 · Cited by 109 · see citing works
Agassounon, W., Martinoli, A., & Easton, K. (2004) · Autonomous Robots · doi:10.1023/b:auro.0000033971.75494.c8 · Cited by 60 · see citing works
Deep reinforcement learning for multi-agent coordination
Aina, K. O., & Ha, S. (2026) · Artificial Life and Robotics · doi:10.1007/s10015-025-01089-z · Cited by 8 · see citing works
“Applications include solving several NP-hard problems, such as implicit spatial clustering of multi-agent systems without direct inter-agent communication [21] and coordination of unmanned vehicles [22].”
Traces of thinking: a stigmergic approach to 4E cognition
Sims, R. (2025) · Synthese · doi:10.1007/s11229-025-05074-8 · Cited by 3 · see citing works
“The stigmergy literature is extensive (see Doyle and Marsh, 2013; Goldstone and Roberts, 2006; Heylighen, 2016b; Holland and Melhuish, 1999; Lewis, 2013; Lewis and Marsh, 2016; Marsh and Onof, 2008; Nieto-Gomez, 2016; Parunak, 2006; Ricci et al. , 2007; Secretan, 2013; Sharkey, 2007; Susi, 2016;…”
- Authors
- Holland, O., & Melhuish, C.
- Affiliations
- University of the West of England (GB)
- Venue
- Artificial Life
- Publisher
- MIT Press - Journals
- Published
- 1999-04
- Volume
- 5
- Issue
- 2
- Pages
- 173-202
- ISSN
- 1064-5462 (ISSN-L)
- 1530-9185
- OpenAlex
- W2109250000
- Cited by
- 406
- References
- 1
- Citations by year
- 2026: 8 · 2025: 6 · 2024: 3 · 2023: 6 · 2022: 3 · 2021: 9 · 2020: 7 · 2019: 8 · 2018: 6 · 2017: 6 · 2016: 13 · 2015: 16 · 2014: 21 · 2013: 22 · 2012: 20
- FWCI
- 20.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Artificial Life (publishedVersion)
- PubMed (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 › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Keywords
- stigmergy, self-organization, collective robotics, ant behavior, swarm robotics, physical robots, social insects, simulation limitations
- MeSH terms
- Animals, Ants, Models, Biological, Robotics, Social Behavior
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