@inproceedings{aade956990e1463fbe3e670ca97bb737,
title = "Multi-robot Search in a 3D Environment with Intersection System Constraints",
abstract = "Efficient task allocation is a challenge for multirobot search. The multi-robot search problem is reformulated as submodular maximization subject to intersection system constraints. The objective function is submodular and consists of a coverage function to cover environments and a balancing function to efficiently dispatch robots. The intersection system is composed of routing and clustering constraints. The experiment results show that the proposed approach outperforms state-ofthe-art methods in multi-robot search.",
author = "Li, {Yan Shuo} and Tseng, {Kuo Shih}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 ; Conference date: 13-05-2024 Through 17-05-2024",
year = "2024",
doi = "10.1109/ICRA57147.2024.10610393",
language = "???core.languages.en_GB???",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5963--5969",
booktitle = "2024 IEEE International Conference on Robotics and Automation, ICRA 2024",
}