Sampling-based planning for non-myopic multi-robot information gathering
Author:
Funder
Army Research Laboratory
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10514-021-09995-4.pdf
Reference42 articles.
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2. Atanasov, N., Le Ny, J., Daniilidis, K., & Pappas, G. J. (2015a) Decentralized active information acquisition: Theory and application to multi-robot SLAM. In IEEE International Conference on Robotics and Automation (pp. 4775–4782), Seattle, WA. URL https://ieeexplore.ieee.org/document/7139863.
3. Atanasov, N. A., Le Ny, J., & Pappas, G. J. (2015b). Distributed algorithms for stochastic source seeking with mobile robot networks. Journal of Dynamic Systems, Measurement, and Control, 137(3), 031004.
4. Bai, S., Chen, F., & Englot, B. (2017). Toward autonomous mapping and exploration for mobile robots through deep supervised learning. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2379–2384).
5. Bennetts, V. M. H., Lilienthal, A. J., Khaliq, A. A., Sese, V. P. & Trincavelli, M. (2013). Towards real-world gas distribution mapping and leak localization using a mobile robot with 3d and remote gas sensing capabilities. In IEEE International Conference on Robotics and Automation, pages 2335–2340, Karlsruhe, Germany, 2013. URL https://ieeexplore.ieee.org/document/6630893.
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