Publications about 'Robotic Surveillance'

Thesis

1. X. Duan. Markov Chain-Based Stochastic Strategies for Robotic Surveillance. PhD thesis, Mechanical Engineering Department, University of California at Santa Barbara, November 2020. Keyword(s): Robotic Networks. [bibtex-entry]
2. R. Patel. Robotic Surveillance and Deployment Strategies. PhD thesis, Mechanical Engineering Department, University of California at Santa Barbara, April 2015. Keyword(s): Robotic Networks. [bibtex-entry]

Articles in journal or book chapters

1. G. Dìaz-Garcìa, F. Bullo, and J. R. Marden. Distributed Markov chain-based Strategies for Multi-Agent Robotic Surveillance. IEEE Control Systems Letters, 7:2527-2532, 2023. [bibtex-entry]
2. X. Duan and F. Bullo. Markov Chain-Based Stochastic Strategies for Robotic Surveillance. Annual Review of Control, Robotics, and Autonomous Systems, 4:243-264, 2021. Keyword(s): Robotic Networks. [bibtex-entry]
3. X. Duan, D. Paccagnan, and F. Bullo. Stochastic Strategies for Robotic Surveillance as Stackelberg Games. IEEE Transactions on Control of Network Systems, 8(2):769-780, 2021. Keyword(s): Robotic Networks. [bibtex-entry]
4. X. Duan, M. George, and F. Bullo. Markov Chains with Maximum Return Time Entropy for Robotic Surveillance. IEEE Transactions on Automatic Control, 65(1):72-86, 2020. [bibtex-entry]
5. X. Duan, M. George, R. Patel, and F. Bullo. Robotic Surveillance Based on the Meeting Time of Random Walks. IEEE Transactions on Robotics, 36(4):1356-1362, 2020. Keyword(s): Robotic Networks. [bibtex-entry]
6. M. George, S. Jafarpour, and F. Bullo. Markov Chains with Maximum Entropy for Robotic Surveillance. IEEE Transactions on Automatic Control, 64(4):1566-1580, 2019. [bibtex-entry]
7. R. Patel, P. Agharkar, and F. Bullo. Robotic Surveillance and Markov Chains with Minimal Weighted Kemeny Constant. IEEE Transactions on Automatic Control, 60(12):3156-3167, 2015. Keyword(s): Robotic Networks. [bibtex-entry]

Conference articles

1. Y. John, C. Hughes, G. Diaz-Garcia, J. Marden, and F. Bullo. RoSSO: A High-Performance Python Package for Robotic Surveillance Strategy Optimization Using JAX. In IEEE Int. Conf. on Robotics and Automation, Yokohama, Japan, May 2024. Keyword(s): Robotic Surveillance. [bibtex-entry]
2. X. Duan, M. George, and F. Bullo. Markov chains with maximum return time entropy for robotic surveillance. In IEEE Conf. on Decision and Control, Miami, FL, USA, pages 5934-5939, December 2018. [bibtex-entry]
3. A. Carron, R. Patel, and F. Bullo. Hitting time for doubly-weighted graphs with application to robotic surveillance. In European Control Conference, Aalborg, Denmark, pages 661-665, June 2016. [bibtex-entry]
4. P. Agharkar, R. Patel, and F. Bullo. Robotic surveillance and Markov chains with minimal first passage time. In IEEE Conf. on Decision and Control, Los Angeles, CA, USA, pages 6603-6608, December 2014. [bibtex-entry]

Miscellaneous

1. H. Wang. Robotic Surveillance Package. rlhttps://github.com/HanWang99/RoboSurv, November 2019. Note: A Matlab and Julia library for the computation of robotic surveillance strategies, licensed under CC BY-NC-SA 4.0. [bibtex-entry]
2. S. Wang. High Entropy Stochastic Paths with Finite Cover Times for Robotic Surveillance. Master's thesis, Department of Mechanical Engineering, University of California at Santa Barbara, June 2018. Keyword(s): Robotic Networks. [bibtex-entry]