Abstract
Earthquake is one of the most serious catastrophes that cause a fatal threat to people and animals among all of the disasters. In order to rescue the victims as soon as possible, this paper proposed to apply the multi-agent robotic systems to the search and rescue operation to improve the rescue efficiency. Firstly, the rescue operations and the sequence of the rescue process are analyzed according to statistical data. Secondly, the search theory is researched based on probability theory. Thirdly, the intelligent optimization algorithm is used to ensure that agents complete the tasks more efficiently. At last, the collision avoidance trajectories of agents are planned in ROS. The development and application of rescue robotic systems are very important to modern society, especially involved in natural or man-made disasters because of their unpredictability and the possibility of large human losses. This paper provides a good model to solve the emergency with the help of multi-agents.
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References
Yogesh, V.B.: An overview on search and rescue robots during earthquake and natural calamities. IJISET Int. J. Innov. Sci. Eng. Technol. 2(5) (2015)
Nazarova, A.V., Ryzhova, T.P.: Methods and algorithms for multi-agent control of robotic system. Vestnik BMSTU N.E. Bauman, Moscow, Russia, pp. 93–105 (2012)
Parker, L.E.: Multiple mobile robot systems. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 921–941. Springer, Berlin, Heidelberg (2008)
Yurevich, I.E., et al.: Intellectual robots. M.: Mashinostroenie, 360 p. (2007)
Haque, M.A., Egerstedt, M.: Decentralized formation selection mechanisms inspired by foraging bottlenose dolphins. In: Presented at the Mathematical Theory of Networks and Systems, 2008, Blacksburg, Virginia, USA, pp. 1–12 (2008)
Bernussou, J., Sebe, N.: About decentralized feedback: a survey. In: Proceedings of the 9th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications, pp. 22–33 (2002)
Bagnitsky, A.V., Inzartsev, A.V.: Planning and implementation of the motion paths of an autonomous underwater robot performing monitoring in different types of waters. In: Underwater Research and Robotics, vol. 2, no. 22, pp. 25–35 (2016)
MacKenzie, D., Balch, T.: Making a clean sweep: behavior based vacuuming. In: AAAI Fall Symposium, Instationating Real-World Agents (1996)
Arkin, R.C., Balch, T., Nitz, E.: Communication of behavioral state in multi-agent retrieval tasks. In: IEEE International Conference on Robotics and Automation, vol. 1, pp. 678, Atlanta, GA (1993)
Parker, L.E.: An architecture for fault-tolerant multi-robot cooperation. IEEE Trans. Robot. Autom. 14(2), 220–240 (1998)
Solanas, A., Garcia, M.A.: Coordinated multi-robot exploration through unsupervised clustering of unknown space. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. Sendai. Japan, pp. 717–721 (2004)
Moravec, H.P., Elfes, A.: High resolution maps from wide-angle sonar. In: IEEE International Conference Robotics Automation, St. Louis, MO, pp. 116–121 (1985)
Gabriely, Y., Rimon, E.: Spanning-tree based coverage of continuous areas by a mobile robot. Ann. Math. Artificial Intell. 31, 77–98 (2001)
Choset, H., Lynch, K., Hutchinson, S., Kantor, G., Burgard, W., Kavraki, L., Thrun, S.: Principles of Robot Motion: Theory Algorithms and Implementation. The MIT Press, Cambridge, MA (2005)
Latombe, J.C.: Robot Motion Planning. Kluwer Academic Publishers (1991)
Shehory, O., Kraus, S.: Methods for task allocation via agent coalition formation. Artif. Intell. 101, 165–200 (1998)
Meng, Y., Gan, J.: Self-adaptive distributed multi-task allocation in a multi-robot system. In: IEEE Congress on Evolutionary Computation, pp. 398–404 (2008)
Dias, M., Stentz, A.: Opportunistic optimization for market-based multi-robot control. In: International Conference on Intelligent Robots and Systems, vol. 3, pp. 2714–2720 (2002)
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Nazarova, A.V., Zhai, M. (2020). The Application of Multi-agent Robotic Systems for Earthquake Rescue. In: Kravets, A. (eds) Robotics: Industry 4.0 Issues & New Intelligent Control Paradigms. Studies in Systems, Decision and Control, vol 272. Springer, Cham. https://doi.org/10.1007/978-3-030-37841-7_11
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DOI: https://doi.org/10.1007/978-3-030-37841-7_11
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