The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Coverage Control for Mobile Sensing Networks
Abstract
This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks, where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct.
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Citations
Cites
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788
Coordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799 · cited 1×
“Heuristic approaches to the design of interaction rules and emerging behaviors have been throughly investigated withi n the literature on behavior-based robotics; see [24], [25], [17], [26], [27], [28].”
BackgroundDistributed asynchronous deterministic and stochastic gradient optimization algorithms
Tsitsiklis, J., Bertsekas, D., & Athans, M. (1986) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1986.1104412 · Cited by 1,967
Cited by
Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522
Cooperative Multi-agent Control Using Deep Reinforcement Learning
Gupta, J. K., Egorov, M., & Kochenderfer, M. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-71682-4_5 · Cited by 874
Closed-Loop Turbulence Control: Progress and Challenges
Brunton, S. L., & Noack, B. R. (2015) · Applied Mechanics Reviews · doi:10.1115/1.4031175 · Cited by 623
Human Interaction With Robot Swarms: A Survey
Kolling, A., Walker, P., Chakraborty, N., Sycara, K., & Lewis, M. (2016) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2015.2480801 · Cited by 424
Nonsmooth Barrier Functions With Applications to Multi-Robot Systems
Glotfelter, P., Cortes, J., & Egerstedt, M. (2017) · IEEE Control Systems Letters · doi:10.1109/lcsys.2017.2710943 · Cited by 312
Self-citation
Metadata
- Authors
- Cortes, J., Martinez, S., Karatas, T., & Bullo, F.
- Venue
- IEEE Transactions on Robotics and Automation
- Published
- 2004-04
- Volume
- 20
- Issue
- 2
- Pages
- 243-255
- ISSN
- 1042-296X (ISSN-L)
- OpenAlex
- W2167485994
- Cited by
- 2,710
- References
- 4
- FWCI
- 113.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Coverage Control for Mobile Sensing Networks. https://app.cochat.ai/papers/10.1109/tra.2004.824698
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- Cortes, J., Martinez, S., Karatas, T., & Bullo, F. (2004). Coverage Control for Mobile Sensing Networks. IEEE Transactions on Robotics and Automation. https://doi.org/10.1109/tra.2004.824698
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
