Relevant bibliographies by topics / Multi-robot patrolling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multi-robot patrolling'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Multi-robot patrolling"

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Hoshino, Satoshi, and Kazuki Takahashi. "Dynamic Partitioning Strategies for Multi-Robot Patrolling Systems." Journal of Robotics and Mechatronics 31, no. 4 (2019): 535–45. http://dx.doi.org/10.20965/jrm.2019.p0535.

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In this paper, the mission for mobile patrolling robots is to detect as many incoming visitors as possible by monitoring the environment. For multi-robot mobile patrolling systems, task assignment in the common environment is one of the problems. For this problem, we use a territorial approach and partition the environment into territories. Thus, each robot is allowed to patrol a separate territory regardless of the others. In this regard, however, the workload balancing of the patrolling tasks in the territories is a challenge. For this challenge, we propose dynamic partitioning strategies fo
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Sless Lin, Efrat, Noa Agmon, and Sarit Kraus. "Multi-robot adversarial patrolling: Handling sequential attacks." Artificial Intelligence 274 (September 2019): 1–25. http://dx.doi.org/10.1016/j.artint.2019.02.004.

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Alam, Tauhidul, Md Mahbubur Rahman, Pedro Carrillo, Leonardo Bobadilla, and Brian Rapp. "Stochastic Multi-Robot Patrolling with Limited Visibility." Journal of Intelligent & Robotic Systems 97, no. 2 (2019): 411–29. http://dx.doi.org/10.1007/s10846-019-01039-5.

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Xie, Jiajia, Rui Zhou, Jun Luo, et al. "Hybrid Partition-Based Patrolling Scheme for Maritime Area Patrol with Multiple Cooperative Unmanned Surface Vehicles." Journal of Marine Science and Engineering 8, no. 11 (2020): 936. http://dx.doi.org/10.3390/jmse8110936.

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Multi-robot cooperative patrolling systems have been extensively employed in the civilian and military fields, including monitoring forest fires, marine search-and-rescue, and area patrol. Multi-robot area patrol problems refer to the activity that a team of robots works cooperatively and regularly to visit the key targets in the given area for security. Following consideration of the low cost and high safety of unmanned surface vehicles (USV), a team of USVs is organized to perform area patrol in a sophisticated maritime environment. In this paper, we establish a mathematical model considerin
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Portugal, David, and Rui P. Rocha. "Multi-robot patrolling algorithms: examining performance and scalability." Advanced Robotics 27, no. 5 (2013): 325–36. http://dx.doi.org/10.1080/01691864.2013.763722.

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Hernández, Erik, Jaime del Cerro, and Antonio Barrientos. "Game Theory Models for Multi-Robot Patrolling of Infrastructures." International Journal of Advanced Robotic Systems 10, no. 3 (2013): 181. http://dx.doi.org/10.5772/55535.

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ITO, Masaki, Satoshi HOSHINO, Junichiro CHIBA, and Kazuki TAKAHASHI. "Decentralized Multi-Robot Patrolling Systems based on Territorial Approach." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (2018): 1P1—E14. http://dx.doi.org/10.1299/jsmermd.2018.1p1-e14.

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Huang, Li, MengChu Zhou, Kuangrong Hao, and Edwin Hou. "A survey of multi-robot regular and adversarial patrolling." IEEE/CAA Journal of Automatica Sinica 6, no. 4 (2019): 894–903. http://dx.doi.org/10.1109/jas.2019.1911537.

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Alam, Tauhidul. "Decentralized and Nondeterministic Multi-Robot Area Patrolling in Adversarial Environments." International Journal of Computer Applications 156, no. 2 (2016): 1–8. http://dx.doi.org/10.5120/ijca2016912367.

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Scherer, Jürgen, and Bernhard Rinner. "Multi-Robot Patrolling with Sensing Idleness and Data Delay Objectives." Journal of Intelligent & Robotic Systems 99, no. 3-4 (2020): 949–67. http://dx.doi.org/10.1007/s10846-020-01156-6.

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Dissertations / Theses on the topic "Multi-robot patrolling"

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Sá, Rafael José Fonseca de. "Otimização de um sistema de patrulhamento por múltiplos robôs utilizando algoritmo genético." Universidade Federal de Juiz de Fora (UFJF), 2016. https://repositorio.ufjf.br/jspui/handle/ufjf/3608.

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Robin, Cyril. "Modèles et algorithmes pour systèmes multi-robots hétérogènes : application à la patrouille et au suivi de cible." Thesis, Toulouse, INSA, 2015. http://www.theses.fr/2015ISAT0037/document.

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La détection et le suivi de cibles sont des missions fréquentes pour la robotique mobile, que le contexte soit civil, industriel ou militaire. Ces applications constituent un domaine de choix pour la planification multirobot, et sont abordées par de multiples communautés selon différents points de vue. Nous proposons dans un premier temps une taxonomie commune qui permetde regrouper et de comparer les différentes approches de ces problèmes, afin de mieux les analyser et de mettre en évidence leurs lacunes respectives. En particulier, on note la faible représentativité des modèles exploités, pe
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Chen, Tz-Huei, and 陳資惠. "Development of the Autonomous Multi-Robot Patrolling System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/79034349670681319401.

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碩士<br>臺灣大學<br>機械工程學研究所<br>98<br>Patrolling is the act of traveling around an area at regular intervals in order to provide security or supervise its current state. Multi-agent patrolling has received growing attention in recent years because of its wide range of potential applications. The main objective of this thesis is to develop an autonomous patrolling system composed of a multi-robot team to achieve efficient patrolling. The proposed system can derive patrolling routes given a territory and specific locations that need to be patrolled in the territory, and the patrolling routes can be ad
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Portugal, David Bina Siassipour. "Effective Cooperation and Scalability in Multi-Robot Teams for Automatic Patrolling of Infrastructures." Doctoral thesis, 2014. http://hdl.handle.net/10316/24298.

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Tese de doutoramento em Engenharia Electrotécnica e de Computadores, apresentada ao Departamento de Engenharia Electrotécnica e de Computadores da Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>In the digital era that we live in, advances in technology have proliferated throughout our society, quickening the completion of tasks that were painful in the old days, improving solutions to the everyday problems that we face, and generally assisting human beings both in their professional and personal life. Robotics is a clear example of a broad technological field that evolves ev
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Book chapters on the topic "Multi-robot patrolling"

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Portugal, David, and Rui Rocha. "A Survey on Multi-robot Patrolling Algorithms." In Technological Innovation for Sustainability. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19170-1_15.

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Portugal, David, Luca Iocchi, and Alessandro Farinelli. "A ROS-Based Framework for Simulation and Benchmarking of Multi-robot Patrolling Algorithms." In Studies in Computational Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91590-6_1.

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Portugal, David, and Rui P. Rocha. "Measuring Variables Effect to Statistically Model the Multi-Robot Patrolling Problem by Means of ANOVA." In Technological Innovation for Value Creation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28255-3_22.

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"Multi-Robot and Multi-Camera Patrolling Christopher." In Handbook on Soft Computing for Video Surveillance. Chapman and Hall/CRC, 2012. http://dx.doi.org/10.1201/b11631-14.

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Conference papers on the topic "Multi-robot patrolling"

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Pippin, Charles, and Henrik Christensen. "Trust modeling in multi-robot patrolling." In 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2014. http://dx.doi.org/10.1109/icra.2014.6906590.

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Buermann, Jan, and Jie Zhang. "Multi-Robot Adversarial Patrolling Strategies via Lattice Paths." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/582.

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In full-knowledge multi-robot adversarial patrolling, a group of robots have to detect an adversary who knows the robots' strategy. The adversary can easily take advantage of any deterministic patrolling strategy, which necessitates the employment of a randomised strategy. While the Markov decision process has been the dominant methodology in computing the penetration detection probabilities, we apply enumerative combinatorics to characterise the penetration detection probabilities. It allows us to provide the closed formulae of these probabilities and facilitates characterising optimal random
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Pippin, Charles, Henrik Christensen, and Lora Weiss. "Performance based task assignment in multi-robot patrolling." In the 28th Annual ACM Symposium. ACM Press, 2013. http://dx.doi.org/10.1145/2480362.2480378.

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Talmor, Noga, and Noa Agmon. "On the Power and Limitations of Deception in Multi-Robot Adversarial Patrolling." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/61.

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Multi-robot adversarial patrolling is a well studied problem, investigating how defenders can optimally use all given resources for maximizing the probability of detecting penetrations, that are controlled by an adversary. It is commonly assumed that the adversary in this problem is rational, thus uses the knowledge it has on the patrolling robots (namely, the number of robots, their location, characteristics and strategy) to optimize its own chances to penetrate successfully. In this paper we present a novel defending approach which manipulates the adversarial (possibly partial) knowledge on
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Iocchi, L., L. Marchetti, and D. Nardi. "Multi-robot patrolling with coordinated behaviours in realistic environments." In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iros.2011.6094844.

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Iocchi, L., L. Marchetti, and D. Nardi. "Multi-robot patrolling with coordinated behaviours in realistic environments." In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iros.2011.6048424.

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Portugal, David, Charles Pippin, Rui P. Rocha, and Henrik Christensen. "Finding optimal routes for multi-robot patrolling in generic graphs." In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE, 2014. http://dx.doi.org/10.1109/iros.2014.6942585.

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Hong, Youngtaek, Yeosun Kyung, and Seong-Lyun Kim. "A Multi-Robot Cooperative Patrolling Algorithm with Sharing Multiple Cycles." In 2019 European Conference on Networks and Communications (EuCNC). IEEE, 2019. http://dx.doi.org/10.1109/eucnc.2019.8802015.

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Portugal, David, and Rui P. Rocha. "On the performance and scalability of multi-robot patrolling algorithms." In 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR). IEEE, 2011. http://dx.doi.org/10.1109/ssrr.2011.6106761.

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Pippin, Charles E., Henrik Christensen, and Lora Weiss. "Dynamic, cooperative multi-robot patrolling with a team of UAVs." In SPIE Defense, Security, and Sensing, edited by Robert E. Karlsen, Douglas W. Gage, Charles M. Shoemaker, and Grant R. Gerhart. SPIE, 2013. http://dx.doi.org/10.1117/12.2014978.

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