@inproceedings{9a6bd3d54dd741cd8fc5e2d379c5aad8,
title = "UAV/UGV Search and Capture of Goal-Oriented Uncertain Targets",
abstract = "This paper considers a new, complex problem of UAV/UGV collaborative efforts to search and capture attackers under uncertainty. The goal of the defenders (UAV/UGV team) is to stop all attackers as quickly as possible, before they arrive at their selected goal. The uncertainty considered is twofold: the defenders do not know the attackers' location and destination, and there is also uncertainty in the defenders' sensing. We suggest a real-time algorithmic framework for the defenders, combining entropy and stochastic-temporal belief, that aims at optimizing the probability of a quick and successful capture of all of the attackers. We have empirically evaluated the algorithmic framework, and have shown its efficiency and significant performance improvement compared to other solutions.",
author = "Mor Sinay and Noa Agmon and Oleg Maksimov and Guy Levy and Moshe Bitan and Sarit Kraus",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 ; Conference date: 01-10-2018 Through 05-10-2018",
year = "2018",
month = dec,
day = "27",
doi = "10.1109/iros.2018.8594273",
language = "الإنجليزيّة",
series = "IEEE International Conference on Intelligent Robots and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "8505--8512",
booktitle = "2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018",
address = "الولايات المتّحدة",
}