Filtering and planning for resource-constrained mobile robots
Abstract
Note: This article is a summary of Tauhidul Alam's full dissertation that was submitted in partial fulfillment of the requirements to obtain Ph.D. degree in Computer Science, and defended in April 2018 at the Florida International University. This work was advised by Professor Leonardo Bobadilla from the same institution.
References
[1]
Alam, T. (2016, December). Decentralized and nondeterministic multi-robot area patrolling in adversarial environments. International Journal of Computer Applications, 156(2), 1--8.
[2]
Alam, T., Bobadilla, L., & Shell, D. A. (2017). Minimalist robot navigation and coverage using a dynamical system approach. In Proceedings of the IEEE International Conference on Robotic Computing (pp. 249--256).
[3]
Alam, T., Bobadilla, L., & Shell, D. A. (2018, January). Space-efficient filters for mobile robot localization from discrete limit cycles. IEEE Robotics and Automation Letters, 3(1), 257--264.
[4]
Alam, T., Edwards, M., Bobadilla, L., & Shell, D. (2015). Distributed multi-robot area patrolling in adversarial environments. In the International Workshop on Robotic Sensor Networks.
[5]
Alam, T., Rahman, M. M., Bobadilla, L., & Rapp, B. (2017). Multi-vehicle patrolling with limited visibility and communication constraints. In Proceedings of the IEEE Conference on Military Communications (pp. 465--470).
[6]
Alam, T., Reis, G. M., Bobadilla, L., & Smith, R. N. (2018). A data-driven deployment approach for persistent monitoring in aquatic environments. In Proceedings of the IEEE International Conference on Robotic Computing (pp. 147--154).
[7]
Fox, D. (2003). Adapting the sample size in particle filters through KLD-sampling. International Journal of Robotics Research, 22(12), 985--1003.
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Ghosh, A., Boyd, S., & Saberi, A. (2008). Minimizing effective resistance of a graph. SIAM Review, 50(1), 37--66.
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Hsu, C. S. (1980). A theory of cell-to-cell mapping dynamical systems. Journal of Applied Mechanics, 47(4), 931--939.
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Hsu, C. S. (2013). Cell-to-cell mapping: a method of global analysis for nonlinear systems (Vol. 64). Springer Science & Business Media.
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Leonard, J. J., & Durrant-Whyte, H. F. (1991). Mobile robot localization by tracking geometric beacons. IEEE Transactions on Robotics and Automation, 7(3), 376--382.
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Shchepetkin, A. F., & McWilliams, J. C. (2005). The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model. Ocean Modelling, 9(4), 347--404.
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Thrun, S., Fox, D., Burgard, W., & Dellaert, F. (2001). Robust Monte Carlo localization for mobile robots. Artificial Intelligence, 128(1-2), 99--141.
- Filtering and planning for resource-constrained mobile robots
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Copyright © 2018 Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 July 2018
Published in SIGAI-AIMATTERS Volume 4, Issue 2
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