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The multi-agent rendezvous problem
Abstract
This paper is concerned with the collective behavior of a group of n > 1 mobile autonomous agents, labelled 1 through n, which can all move in the plane. Each agent is able to continuously track the positions of all other agents currently within its "sensing region" where by an agent's sensing region is meant a closed disk of positive radius r centered at the agent's current position. The multi-agent rendezvous problem is to devise "local" control strategies, one for each agent, which without any active communication between agents, cause all members of the group to eventually rendezvous at single unspecified location. This paper describes two types of strategies for solving the problem. The first consists of agent strategies, which are mutually synchronized, in the sense that all depend on a common clock. The second consists of strategies, which can be implemented independent of each other, without reference to a common clock.
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Citations
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
Potential Fields for Maintaining Connectivity of Mobile Networks
Zavlanos, M. M., & Pappas, G. J. (2007) · IEEE Transactions on Robotics · doi:10.1109/tro.2007.900642 · Cited by 353
Lyapunov-Based Reinforcement Learning for Decentralized Multi-agent Control
Zhang, Q., Dong, H., & Pan, W. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-64096-5_5 · Cited by 18
Metadata
- Authors
- Lin, J., Morse, A. S., & Anderson, B. D. O.
- Venue
- 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)
- Publisher
- IEEE
- Published
- 2004-07-08
- Volume
- 2
- Pages
- 1508-1513
- OpenAlex
- W1514589001
- Cited by
- 408
- References
- 0
- FWCI
- 13.01
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The multi-agent rendezvous problem. https://app.cochat.ai/papers/10.1109/cdc.2003.1272825
- The paper
- Lin, J., Morse, A. S., & Anderson, B. D. O. (2004). The multi-agent rendezvous problem. 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475). https://doi.org/10.1109/cdc.2003.1272825
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
