The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
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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“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]
Citations
Cites
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799 · cited 2×
“The robots are modeled as a set of sensors, actuators and behaviors, combined in a control architecture that uses either a subsumption [7] xed priority or an Adaptive Logic Network [3] behavior arbitration mechanism.”
BackgroundWilson, E. O. (1971) · Medical Entomology and Zoology · Cited by 4,756
Proceedings. 1985 IEEE International Conference on Robotics and Automation
(1985) · doi:10.1109/robot.1985 · Cited by 3,692
Vehicles: Experiments in Synthetic Psychology.
Dennett, D. C., & Braitenberg, V. (1986) · The Philosophical Review · doi:10.2307/2185146 · Cited by 1,624
Vehicles: Experiments in synthetic psychology
Stefik, M. (1985) · Artificial Intelligence · doi:10.1016/0004-3702(85)90057-8 · Cited by 1,342
The Dynamics of Collective Sorting: Robot-Like Ants and Ant-Like Robots
Deneubourg, J. L., Goss, S., Franks, N., Sendova-Franks, A., Detrain, C., & Chrétien, L. (1991) · From Animals to Animats · doi:10.7551/mitpress/3115.003.0048 · Cited by 889
Caste and ecology in the social insects
(1979) · Acta Biotheoretica · doi:10.1007/bf00046355 · Cited by 799
IEEE International Conference On Robotics And Automation
(2001) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2001.932732 · Cited by 771
Collective patterns and decision-making
Deneubourg, J., & Goss, S. (1989) · Ethology Ecology & Evolution · doi:10.1080/08927014.1989.9525500 · Cited by 667
Research works printed but not linked: 21
- Armstrong, W., 1991, Learning and generalization in adaptive logic networks, in artificial neural networks
- Beni, G., Proceedings of the 1991 IEEE International Conference on Robotics and Automation
- Brooks, R.A., Proceedings of the 1990 IEEE International Workshop on Intelligent Robots and Systems (IROS)
- Caloud, P., Proceedings of the 1990 IEEE International Workshop on Intelligent Robots and Systems
- Dario, P., 1991 IEEE International Conference on Robotics and Automation
- Doty, K.L., Proceedings of the 1993 IEEE International Conference on Robotics and Automation
- Franks, N.R., 1989, American Scientist, 77, 139
- Goss, S., Proceedings of the First European Conference on Artificial Life
- Kube, C.R., Second International Conference on Simulation of Adaptive Behavior
- Kube, C.R., Proceedings of the 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems
- Mataric, M.J., Proceedings of the 1992 IEEE International Conference on Robotics and Automation
- Noreils, F.R., Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems
- Riken., 1992, International Symposium on Distributed Autonomous Robotic Systems
- Singh, K., Proceedings of the 1993 IEEE International Conference on Robotics and Automation
- Stilwell, D.J., 1993 IEEE International Conference on Robotics and Automation
- Sudd, J., 1963, Discovery, 6, 15
- Taipale, T., 1992, Bulletin of the Electrotechnical Laboratory, 56, 892
- Tatsue, Y., 1993, Worldwide research and development of micromachines
- Wilson, E.O., 1990, The ants
- Wilson, S.W., First International Conference on Simulation of Adaptive Behavior
- Yuta, S., Proceedings of the IEEE International Conference on Intelligent Robots and Systems
Cited by
Sorted by citations
Items 301–338 of 338
Experience-Based Control and Coordination of Autonomous Mobile Systems in Dynamic Environments
Buck, S. (2003) · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich)
OF DECEITS IN COLLECTIVE ROBOTICS
Murciano, A., Zamora, J., & Rodriguez-Santamaria, E. (2002)
Bioanaloge Ansätze für adaptive und autonome Systeme in der Informationstechnik
Kolo, C., Christaller, T., & Pöppel, E. (1999) · Technik, Wirtschaft und Politik · doi:10.1007/978-3-642-58681-1_5
Emergence and Evolution in Robotics. Artificial Life and Robotics.
Numaoka, C. (1997) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.15.671
Fostering Cooperation among Intelligent Machines
Rocha, R. P. (2002)
Oechsle, R., Weires, R., & Lang, S. (2004) · SimVis
Blue Paper: A Research Roadmap for Developing Artificial Embodied and Communicating Agents
Nolfi, S., Floreano, D., Halloy, J., Holmquist, L. E., Loreto, V., Solé, R. V., & Steels, L. (2007)
A Distributed Approach for Autonomous Cooperative Transportation
Nath, A., & Niyogi, R. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.98270
Collective Behavior of Robots Swarm
Hassan, N. (2013) · International Conference on Computer Theory and Applications (ICCTA) · doi:10.1109/iccta32607.2013.9529510
Neural dynamics of social behavior
Wischmann, S. (2008) · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Search and restore: a study of cooperative multi-robot systems
Haire, M. (2021) · Sheffield Hallam University · doi:10.7190/shu-thesis-00395
Dawson, M. R. W. (2004) · Minds and Machines · doi:10.1002/9780470752999.refs
Guo, Y. P. (2017) · doi:10.1002/9781119216131.ch1
Arrichiello, F. (2020) · Springer eBooks · doi:10.1007/978-1-4471-5102-9_100028-1
Arrichiello, F. (2021) · Springer eBooks · doi:10.1007/978-3-030-44184-5_100028
Distributed Controls of Multiple Robotic Systems, An Optimization Approach
Feddema, J. T., Schoenwald, D. A., Robinett, R. D., & Byrne, R. H. (2009) · Encyclopedia of Complexity and Systems Science · doi:10.1007/978-0-387-30440-3_129
Miyano, T., Romberg, J., & Egerstedt, M. (2022) · IEEE Conference on Control Technology and Applications (CCTA) · doi:10.1109/ccta49430.2022.9966080
On the Effectiveness of Torque Sensor on Cooperative Transport for Robot Swarm
Alkilabi, M. H. M., Alnasrawi, A. M., Kadhim, H. R., Almansoori, A., & Tuci, E. (2022) · International Conference on Data Science and Intelligent Computing (ICDSIC) · doi:10.1109/icdsic56987.2022.10076179
การใชหนยนตหลายตวทำงานผานระบบเครอขายเพอขนสงแผงโซลาเซลล
ธีรศรัณย์, จ. (2020) · doi:10.58837/chula.the.2020.977
Effect of Robotic Pile-Up Mechanism on Cooperative Transportation for Versatile Objects
SUEOKA, Y., Yong, W. J., Takebe, N., Sugimoto, Y., & Osuka, K. (2023) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2023.p0938
Zhang, J., Bai, C., & Guo, J. (2023) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros55552.2023.10342422
(2024) · The MIT Press eBooks · doi:10.7551/mitpress/9621.003.0006
Generalizations of Evolved Decision-Making Mechanisms in Swarm Collective Perception
Trendafilov, D., Almansoori, A., Carletti, T., & Tuci, E. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-57430-6_15
Cooperative transportation of an object with a nonholonomic constraint by a swarm robot
Fukao, Y., Terakawa, T., Endo, T., Matsuno, F., Morimoto, Y., Koshimoto, T., & Mizuno, D. (2025) · ROBOMECH Journal · doi:10.1186/s40648-025-00308-3
Modularity Assumptions in Situated Agency
Mali, A. D., & Mukerjee, A. (2015)
Cooperative Robotics : A Survey
Bergfeldt, N. (2000) · University Library of Skövde (University of Skövde)
Ch’ng, E. (2007) · University of Birmingham Institutional Research Archive (University of Birmingham)
Hung, P. Q., Hung, P. D., & Ngo, T. D. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-11900-1_2
Swarm robotics: principles, research and applications
Bogue, R. (2026) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir-12-2025-0478
Collective Decision-Making Over Nonlinear Potential Fields
Tuqan, M., & Burbano-L., D. A. (2026) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2026.3659655
A comprehensive review on applications of AI-based Metaheuristics for swarm robotics
Nargundkar, A., & Shinde, S. (2026) · AIP conference proceedings · doi:10.1063/5.0317903
Jiang, A., Xu, Y., Zhang, H., Liu, X., Wen, S., Sun, Y., Zhang, P., Han, Q., & Ji, A. (2026) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/ae5e33 · Cited by 1
Self-citationD’Alfonso, L., Merzi, A., & Fedele, G. (2026) · Robotics · doi:10.3390/robotics15050092
Forensic analysis of maritime incidents: Swarm robotics for evidence collection
Aseri, V., Whig, P., Palakurti, N. R., Sehrawat, S. K., & Kanchepu, N. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33621-8.00003-7
Towards a swarm robotic approach for cooperative object recognition
King, D. (2012) · Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)
Metadata
- 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 › Engineering › Control and Systems Engineering › 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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