Open Access
| Issue |
E3S Web Conf.
Volume 723, 2026
2026 International Conference on Artificial Intelligence in Energy and Infrastructure (AIEI 2026)
|
|
|---|---|---|
| Article Number | 04012 | |
| Number of page(s) | 6 | |
| Section | Intelligent Infrastructure, Iot, Robotics & Sustainable Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202672304012 | |
| Published online | 08 July 2026 | |
- N. H. Mai and T. V. Dung, “A method for football team model optimization and application of the optimization control,” Proceedings of the 12th International Scientific and Practical Conference: Environment. Technology. Resources, vol. II, pp. 84–88, Rezekne, Latvia, 2019. [Google Scholar]
- H. W. Kuhn, “The Hungarian method for the assignment problem,” Naval Research Logistics Quarterly, vol. 2, no. 1–2, pp. 83–97, 1955. [CrossRef] [Google Scholar]
- R. E. Bellman, Dynamic Programming. Princeton, NJ, USA: Princeton University Press, 1957. [Google Scholar]
- C. J. C. H. Watkins and P. Dayan, “Q-learning,” Machine Learning, vol. 8, no. 3–4, pp. 279–292, 1992. [Google Scholar]
- O. Khatib, “Real-time obstacle avoidance for manipulators and mobile robots,” International Journal of Robotics Research, vol. 5, no. 1, pp. 90–98, 1986. [Google Scholar]
- B.P. Gerkey and M.J. Mataric, “A formal analysis and taxonomy of task allocation in multi-robot systems,” The International Journal of Robotics Research, vol. 23, no. 9, pp. 939–954, 2004. [CrossRef] [Google Scholar]
- Y. Liu and G. Nejat, “Multirobot cooperative learning for semistructured environment exploration,” IEEE Transactions on Cybernetics, vol. 44, no. 3, pp. 361–372, 2014. [Google Scholar]
- L. Busoniu, R. Babuska, and B. De Schutter, “A comprehensive survey of multi-agent reinforcement learning,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 38, no. 2, pp. 156–172, 2008. [Google Scholar]
- S. Ge and Y. Cui, “Dynamic motion planning for mobile robots using potential field method,” Autonomous Robots, vol. 13, no. 3, pp. 207– 222, 2002. [Google Scholar]
- H. Chakraa, F. Guerin, E. Leclercq, and D. Lefebvre, “Optimization techniques for Multi-Robot Task Allocation problems: Review on the state-of-the-art,” Robotics and Autonomous Systems, vol. 168, 2023. [Google Scholar]
- R. Burkard, M. Dell’Amico, and S. Martello, Assignment Problems, SIAM, 2009. [Google Scholar]
- R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction, MIT Press, 2018. [Google Scholar]
- M. B. Dias, R. Zlot, N. Kalra, and A. Stentz, “Market-based multirobot coordination: A survey and analysis,” Proceedings of the IEEE, 2006. [Google Scholar]
- R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed., Cambridge University Press, 2004. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.