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Traffic control for a swarm of robots: avoiding target congestion

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Traffic control for a swarm of robots: avoiding target congestion. / Soriano Marcolino, Leandro; Chaimowicz, Luiz.
Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS 2009). St. Louis, MO: IEEE, 2009. p. 1955-1961 (Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Soriano Marcolino, L & Chaimowicz, L 2009, Traffic control for a swarm of robots: avoiding target congestion. in Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS 2009). Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on, IEEE, St. Louis, MO, pp. 1955-1961. https://doi.org/10.1109/IROS.2009.5354407

APA

Soriano Marcolino, L., & Chaimowicz, L. (2009). Traffic control for a swarm of robots: avoiding target congestion. In Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS 2009) (pp. 1955-1961). (Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on). IEEE. https://doi.org/10.1109/IROS.2009.5354407

Vancouver

Soriano Marcolino L, Chaimowicz L. Traffic control for a swarm of robots: avoiding target congestion. In Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS 2009). St. Louis, MO: IEEE. 2009. p. 1955-1961. (Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on). doi: 10.1109/IROS.2009.5354407

Author

Soriano Marcolino, Leandro ; Chaimowicz, Luiz. / Traffic control for a swarm of robots : avoiding target congestion. Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS 2009). St. Louis, MO : IEEE, 2009. pp. 1955-1961 (Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on).

Bibtex

@inproceedings{0a3cca60aaec4ee1ba684a8f5377978e,
title = "Traffic control for a swarm of robots: avoiding target congestion",
abstract = "One of the main problems in the navigation of robotic swarms is when several robots try to reach the same target at the same time, causing congestion situations that may compromise performance. In this paper, we propose a distributed coordination algorithm to alleviate this type of congestion. Using local sensing and communication, and controlling their actions using a probabilistic finite state machine, robots are able to coordinate themselves to avoid these situations. Simulations and real experiments were executed to study the performance and effectiveness of the proposed algorithm. Results show that the algorithm allows the swarm to have a more efficient and smoother navigation and is suitable for large groups of robots.",
author = "{Soriano Marcolino}, Leandro and Luiz Chaimowicz",
year = "2009",
month = oct,
day = "10",
doi = "10.1109/IROS.2009.5354407",
language = "English",
isbn = "9781424438037",
series = "Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on",
publisher = "IEEE",
pages = "1955--1961",
booktitle = "Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS 2009)",

}

RIS

TY - GEN

T1 - Traffic control for a swarm of robots

T2 - avoiding target congestion

AU - Soriano Marcolino, Leandro

AU - Chaimowicz, Luiz

PY - 2009/10/10

Y1 - 2009/10/10

N2 - One of the main problems in the navigation of robotic swarms is when several robots try to reach the same target at the same time, causing congestion situations that may compromise performance. In this paper, we propose a distributed coordination algorithm to alleviate this type of congestion. Using local sensing and communication, and controlling their actions using a probabilistic finite state machine, robots are able to coordinate themselves to avoid these situations. Simulations and real experiments were executed to study the performance and effectiveness of the proposed algorithm. Results show that the algorithm allows the swarm to have a more efficient and smoother navigation and is suitable for large groups of robots.

AB - One of the main problems in the navigation of robotic swarms is when several robots try to reach the same target at the same time, causing congestion situations that may compromise performance. In this paper, we propose a distributed coordination algorithm to alleviate this type of congestion. Using local sensing and communication, and controlling their actions using a probabilistic finite state machine, robots are able to coordinate themselves to avoid these situations. Simulations and real experiments were executed to study the performance and effectiveness of the proposed algorithm. Results show that the algorithm allows the swarm to have a more efficient and smoother navigation and is suitable for large groups of robots.

U2 - 10.1109/IROS.2009.5354407

DO - 10.1109/IROS.2009.5354407

M3 - Conference contribution/Paper

SN - 9781424438037

T3 - Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on

SP - 1955

EP - 1961

BT - Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS 2009)

PB - IEEE

CY - St. Louis, MO

ER -