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
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Tuci, E., Ampatzis, C., Vicentini, F., & Dorigo, M. (2008) · Artificial Life · doi:10.1162/artl.2008.14.2.157 · Cited by 21
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Picard, G., & Gleizes, M.-P. (2003) · Lecture notes in computer science · doi:10.1007/3-540-44826-8_9 · Cited by 19
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Baldassarre, G. (2013) · Advanced information and knowledge processing · doi:10.1007/978-1-4471-5113-5_7 · Cited by 16
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White, T. (2005) · Cited by 17
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Varenne, F., Chaigneau, P., Petitot, J., & Doursat, R. (2015) · Acta Biotheoretica · doi:10.1007/s10441-015-9262-z · Cited by 16
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Dawson, M. R. W., Dupuis, B., & Wilson, M. (2010) · Athabasca University Press eBooks · doi:10.15215/aupress/9781897425787.01 · Cited by 16
A reactive coordination scheme for a many-robot system
Evans, K. S., Ünsal, C., & Bay, J. S. (1997) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/3477.604102 · Cited by 16
An architecture for cooperation among autonomous agents
Jung, D. (1998) · Research Online (University of Wollongong) · Cited by 16
Range and pose estimation for visual servoing of a mobile robot
Jung, D., Heinzmann, J., & Zelinksy, A. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1998.677266 · Cited by 15
Garcia-Aunon, P., & Barrientos, A. (2018) · Journal of Computational Science · doi:10.1016/j.jocs.2018.10.004 · Cited by 14
Phase transition in a swarm algorithm for self-organized construction
Leung, H., Kothari, R., & Minai, A. A. (2003) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.68.046111 · Cited by 14
Adaptive and Evolvable Network Services
Nakano, T., & Suda, T. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24854-5_14 · Cited by 14
Decentralized Fuzzy Control of Multiple Nonholonomic Vehicles
Driessen, B. J., Feddema, J. T., & Kwok, K. S. (1999) · Journal of Intelligent & Robotic Systems · doi:10.1023/a:1008178504755 · Cited by 14
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Lau, H. (2012) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · Cited by 14
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Rezeck, P. A. F., Assunção, R., & Chaimowicz, L. (2021) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros51168.2021.9635928 · Cited by 13
Social Robot Paradigms: An Overview
del Moral, S., Pardo, D., & Ángulo, C. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02478-8_97 · Cited by 13
Social Signal Processing in Social Robotics
Salem, M., & Dautenhahn, K. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316676202.023 · Cited by 12
Nath, A., Ar, A., & Niyogi, R. (2020) · ACM Symposium on Applied Computing · doi:10.1145/3341105.3373980 · Cited by 13
Action selection within the context of a robotic colony
Huntsberger, T. L., Matarić, M. J., & Pirjanian, P. (1999) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.360328 · Cited by 13
Emergent complex behaviors for swarm robotic systems by local rules
Chatty, A., Kallel, I., Gaussier, P., & Alimi, A. M. (2011) · IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS) · doi:10.1109/riiss.2011.5945791 · Cited by 12
Robot collective construction by blind bulldozing
Parker, C. A. C., & Zhang, H. (2005) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2002.1173385 · Cited by 12
Self-citationAdaptive Web Search Based on a Colony of Cooperative Distributed Agents
Gasparetti, F., & Micarelli, A. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-45217-1_13 · Cited by 13
Evolution of Neuro-Controllers for Robots' Alignment using Local Communication
Gutiérrez, Á., Tuci, E., & Campo, A. (2009) · International Journal of Advanced Robotic Systems · doi:10.5772/6766 · Cited by 12
The Benefits of Adaptive Behavior and Morphology for Cooperation
Hewland, J., & Nitschke, G. (2015) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci.2015.151 · Cited by 11
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Doerr, B. G., & Linares, R. (2018) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.2018.8430968 · Cited by 11
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Dodd, A. (2014) · Society and Animals · doi:10.1163/15685306-12341254 · Cited by 11
Ochoa, A., Hernndez, A., Cruz, L., Ponce, J., Montes, F., Li, L., & Janacek, L. (2010) · InTech eBooks · doi:10.5772/8058 · Cited by 11
Agah, A. (1995) · Advanced Robotics · doi:10.1163/156855396x00219 · Cited by 11
In a team of robots the loudest is not necessarily the best
Agah, A., & Bekey, G. A. (2002) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.1995.538380 · Cited by 11
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Ferrer, E. C., T, T. H. M. I., Alex, A., & Pentland, A. (2019) · arXiv (Cornell University) · Cited by 11
On, C. K., & Teo, J. (2010) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2010.5586537 · Cited by 10
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Zamora, J., Millán, J. D. R., & Murciano, A. (1998) · Biological Cybernetics · doi:10.1007/s004220050426 · Cited by 10
Baldassarre, G. (2007) · Advanced information and knowledge processing · doi:10.1007/978-1-84628-982-8_7 · Cited by 10
Self-Organizing Multirobot Exploration through Counter-Ant Algorithm
Kallel, I., Chatty, A., & Alimi, A. M. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-92157-8_12 · Cited by 10
Counter-ant algorithm for evolving multirobot collaboration
Chatty, A., Kallel, I., & Alimi, A. M. (2008) · Conference on Soft Computing as Transdisciplinary Science and Technology · doi:10.1145/1456223.1456245 · Cited by 10
Neuro-Evolution for Emergent Specialization in Collective Behavior Systems
Nitschke, G. (2009) · Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) · Cited by 10
An Application Concept of an Underwater Robot Society
Vainio, M., Halme, A. J., Appelqvist, P., Kähkönen, P., Jakubik, P., Schönberg, T., & Wang, Y. (1996) · Springer eBooks · doi:10.1007/978-4-431-66942-5_11 · Cited by 10
Zutin, G. C., Pulquerio, E. C., Pasotti, A. V., Barbosa, G. F., & Shiki, S. B. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-13710-9 · Cited by 9
Sizing of a fleet of cooperative and reconfigurable robots for the transport of heterogeneous loads
Chaikovskaia, M., Gayon, J.-P., & Marjollet, M. (2022) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case49997.2022.9926674 · Cited by 9
An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research
Ch’ng, E. (2010) · IGI Global eBooks · doi:10.4018/978-1-60566-705-8.ch004 · Cited by 9
Groß, R. (2007) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 9
Strengths and synergies of evolved and designed controllers: A study within collective robotics
Baldassarre, G., & Nolfi, S. (2009) · Artificial Intelligence · doi:10.1016/j.artint.2009.01.001 · Cited by 9
Kalat, S. T., Faal, S. G., & Onal, C. D. (2018) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.4039669 · Cited by 9
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Future reasoning machines: mind and body
Duffy, B. R., O’Hare, G. M. P., Bradley, J. F., Martin, A. N., & Schön, B. (2005) · Kybernetes · doi:10.1108/03684920510614731 · Cited by 9
Spatiotemporal chemotactic model for ant foraging
Ramakrishnan, S., Laurent, T., Kumar, M., & Bertozzi, A. L. (2014) · Modern Physics Letters B · doi:10.1142/s0217984914502388 · Cited by 9
Gerber, D. J., & Pantazis, E. (2016) · ACADIA quarterly · doi:10.52842/conf.acadia.2016.012 · Cited by 9
Imitation of Honeybee Aggregation with Collective Behavior of Swarm Robots.
Arvin, F., Samsudin, K. B., Ramli, A. R., & Bekravi, M. (2011) · International Journal of Computational Intelligence Systems · doi:10.2991/ijcis.2011.4.4.26 · Cited by 9
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Doerr, B. G., & Linares, R. (2021) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2021.3059793 · Cited by 8
Feddema, J. T., Robinett, R. D., & Driessen, B. J. (2003) · Journal of Intelligent & Robotic Systems · doi:10.1023/a:1023629602204 · Cited by 8
A rectangular partition algorithm for planar self-assembly
Li, G., & Zhang, H. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2005.1545324 · Cited by 8
Self-citationSmith, A. J. (2002) · ERA · Cited by 8
A mechanical route for cooperative transport in autonomous robotic swarms
Arbel, E., Buise, L., van Waes, C., Oppenheimer, N., Lahini, Y., & Zion, M. Y. B. (2025) · Nature Communications · doi:10.1038/s41467-025-61896-7 · Cited by 7
Evolving morphological robustness for collective robotics
Putter, R., & Nitschke, G. (2017) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci.2017.8285267 · Cited by 7
MBEANN for Robotic Swarm Controller Design and the Behavior Analysis for Cooperative Transport
Katada, Y., Hirokawa, T., Hiraga, M., & Ohkura, K. (2023) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2023.p0997 · Cited by 7
Butel, L., & Watkins, A. (2006) · Journal of Modelling in Management · doi:10.1108/17465660610715230 · Cited by 7
Ferrauto, T., Parisi, D., Stefano, G. D., & Baldassarre, G. (2013) · Artificial Life · doi:10.1162/artl_a_00106 · Cited by 7
Animal Models for Computing and Communications
Bales, K. L., & KITZMANN, C. D. (2011) · CRC Press eBooks · doi:10.1201/b10781-3 · Cited by 7
Collective robotics - a survey of control and communication techniques
Dutta, I., Bogobowicz, A. D., & Gu, J. J. (2005) · International Conference on Mechatronics and Automation · doi:10.1109/icima.2004.1384247 · Cited by 7
A multi-agent architecture for swarm robotics systems
Peres, J., Rosa, P. F. F., & Choren, R. (2017) · IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) · doi:10.1109/iris.2017.8250110 · Cited by 7
Halme, A. J., Appelqvist, P., Jakubik, P., Kähkönen, P., Schönberg, T., & Vainio, M. (2002) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.1996.569041 · Cited by 7
On the evolution of self-organising behaviours in a swarm of autonomous robots
Trianni, V., & Dorigo, M. (2006) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 7
Distributed design of ultra large-scale control systems: Progress, Challenges, and Prospects
Pedroso, L., Batista, P., & Heemels, W. P. M. H. (2025) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2025.100987 · Cited by 10
Self-organisation and emergence in artificial life: concepts and illustrations
Muñoz, Y. J., & de Castro, L. N. (2009) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/09528130902823649 · Cited by 6
Fuzzy logic in collective robotic search
Zhang, N., & Wunsch, D. C. (2004) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz.2003.1206650 · Cited by 6
Cooperative Object Transport Using Evolutionary Swarm Robotics Methods
Alkilabi, M. H. M., Lü, C., & Tuci, E. (2015) · doi:10.7551/978-0-262-33027-5-ch083 · Cited by 6
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Headleand, C. J., & Teahan, W. J. (2016) · 2016 SAI Computing Conference (SAI) · doi:10.1109/sai.2016.7556023 · Cited by 6
Survey on Decentralized Modular Robots and Control Platforms
Abukhalil, T., Sobh, T., & Patil, M. (2014) · Lecture notes in electrical engineering · doi:10.1007/978-3-319-06773-5_23 · Cited by 6
Developing a PBL-based rescue robotics course
Hees, F., Jeschke, S., Natho, N., & Pfeiffer, O. (2009) · Kuwait Conference on e-Services and e-Systems · doi:10.1145/1836029.1836039 · Cited by 6
Ant-ViBRA: A Swarm Intelligence Approach to Learn Task Coordination
Bianchi, R. A. C., & Costa, A. H. R. (2002) · Lecture notes in computer science · doi:10.1007/3-540-36127-8_19 · Cited by 6
Disturbed behavior in co-operating autonomous robot
Ghanea‐Hercock, R., & Barnes, D. (1999) · Adaptive Agents and Multi-Agents Systems · doi:10.1145/301136.301169 · Cited by 6
Random Finite Set Theory and Centralized Control of Large Collaborative Swarms
Doerr, B. G., Linares, R., Zhu, P., & Ferrari, S. (2020) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g004861 · Cited by 6
Enhancing the Cooperative Transport of Multiple Objects
Decugnière, A., Poulain, B., Campo, A., Pinciroli, C., Tartini, B., Osée, M., Dorigo, M., & Birattari, M. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-87527-7_31 · Cited by 5
Modelling interaction patterns and group behaviour in a three-robot team
Penders, J., Alboul, L., & Rodrigues, M. (2004) · SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) · Cited by 5
Zmurchok, C., & de Vries, G. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198550 · Cited by 5
Casualty-based cooperation in swarm robots
Sugawara, K., Doi, Y., & Shishido, M. (2018) · Artificial Life and Robotics · doi:10.1007/s10015-018-0501-7 · Cited by 5
Aylett, R. S., & Vargas, P. A. (2021) · The MIT Press eBooks · doi:10.7551/mitpress/13487.001.0001 · Cited by 5
Evolving Aggregation Behaviors in Swarms from an Evolutionary Algorithms Point of View
Pagliuca, P., & Vitanza, A. (2023) · Smart innovation, systems and technologies · doi:10.1007/978-981-99-3592-5_30 · Cited by 5
Local Interaction of Agents for Division of Labor in Multi-agent Systems
Lee, W., & Kim, D. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-43488-9_5 · Cited by 5
Evolving an Agent Collective for Cooperative Mine Sweeping
Eiben, A. E., Nitschke, G., & Schut, M. C. (2005) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2005.1554769 · Cited by 5
Behavior-Based Methods for Modeling and Structuring Control of Social Robots
Shell, D. A., & Matarić, M. J. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511610721.012 · Cited by 5
Collective Motion and Formation of Simple Interacting Robots
Sugawara, K., Tanigawa, H., Kosuge, K., Hayakawa, Y., Mizuguchi, T., & Sano, M. (2006) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2006.281811 · Cited by 5
Reliable Multi-robot Coordination Using Minimal Communication and Neural Prediction
Buck, S., Schmitt, T., & Beetz, M. (2002) · Lecture notes in computer science · doi:10.1007/3-540-37724-7_3 · Cited by 5
Decentralized fuzzy control of multiple nonholonomic vehicles
Driessen, B. J., Feddema, J. T., & Kwok, K. S. (1998) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.1998.694700 · Cited by 5
Feddema, J. T., Robinett, R. D., & Driessen, B. J. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1998.677245 · Cited by 5
Evolving Collision Avoidance on Autonomous Robots
König, L., & Schmeck, H. (2008) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-0-387-09655-1_8 · Cited by 5
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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