The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Swarm robotics: a review from the swarm engineering perspective
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Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
The chemical basis of morphogenesis
Turing, A. M. (1952) · Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences · doi:10.1098/rstb.1952.0012 · Cited by 11,733
Reinforcement Learning: A Survey
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research · doi:10.1613/jair.301 · Cited by 8,972
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
Khatib, O. (1986) · The International Journal of Robotics Research · doi:10.1177/027836498600500106 · Cited by 7,894
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 1×
“Probabilistic finite state machine design Generally, in swarm robotics, an individual robot does not plan its future actions, but it takes decisions only on the basis of its sensory inputs and/or its internal memory (Brooks 1986).”
BackgroundSelf-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
Effective leadership and decision-making in animal groups on the move
Couzin, I. D., Krause, J., Franks, N. R., & Levin, S. A. (2005) · Nature · doi:10.1038/nature03236 · Cited by 2,753
Cooperative Multi-Agent Learning: The State of the Art
Panait, L., & Luke, S. (2005) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-005-2631-2 · Cited by 1,237
Grassé, P.-P. (1959) · Insectes Sociaux · doi:10.1007/bf02223791 · Cited by 1,236
Multiagent systems: A survey from a machine learning perspective
Stone, P., & Veloso, M. (2000) · Autonomous Robots · doi:10.1023/a:1008942012299 · Cited by 1,218
Cited by
Blockchain for AI: review and open research challenges
Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019) · IEEE Access · doi:10.1109/access.2018.2890507 · Cited by 1,001
Designing Collective Behavior in a Termite-Inspired Robot Construction Team
Werfel, J., Petersen, K., & Nagpal, R. (2014) · Science · doi:10.1126/science.1245842 · Cited by 599
Neural circuit mechanisms of social behavior
Chen, P., & Hong, W. (2018) · Neuron · doi:10.1016/j.neuron.2018.02.026 · Cited by 527
A review on automated sorting of source-separated municipal solid waste for recycling
Gundupalli, S. P., Hait, S., & Thakur, A. (2017) · Waste Management · doi:10.1016/j.wasman.2016.09.015 · Cited by 583
Human Interaction With Robot Swarms: A Survey
Kolling, A., Walker, P., Chakraborty, N., Sycara, K., & Lewis, M. (2016) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2015.2480801 · Cited by 424
Metadata
- Authors
- Brambilla, M., Ferrante, E., Birattari, M., & Dorigo, M.
- Venue
- Swarm Intelligence
- Published
- 2013-01-17
- Volume
- 7
- Issue
- 1
- Pages
- 1-41
- ISSN
- 1935-3812 (ISSN-L)
- 1935-3820
- OpenAlex
- W2118331730
- Cited by
- 1,762
- References
- 16
- FWCI
- 102.74
- Type
- journal article
- Language
- en
- Open access
- green
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- Brambilla, M., Ferrante, E., Birattari, M., & Dorigo, M. (2013). Swarm robotics: a review from the swarm engineering perspective. Swarm Intelligence. https://doi.org/10.1007/s11721-012-0075-2
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.