demonstration

MAS-planes: a multi-agent simulation environment to investigate decentralised coordination for teams of UAVs

Authors:

Marc Pujol-Gonzalez,

Jesus Cerquides,

Pedro MeseguerAuthors Info & Claims

AAMAS '14: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems

Pages 1695 - 1696

Published: 05 May 2014 Publication History

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Abstract

The purpose of this demo is twofold. On the one hand, we present a novel problem that has much potential for multi-agent research. This is the problem of allowing a team of UAVs with limited communication range to autonomously coordinate to service requests so that the overall time to service requests is minimized. On the other hand, we describe the main features of MAS-Planes, a simulation environment specifically geared towards testing coordination algorithms for that coordination problem.

References

[1]

R. Garcia and L. Barnes. Multi-uav simulator utilizing x-plane. In 2nd International Symposium on UAVs, pages 393--406. Springer, 2010.

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J. Happe and J. Berger. Couav: a multi-uav cooperative search path planning simulation environment. In Summer Computer Simulation Conference, pages 86--93, 2010.

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M. Jang, S. Reddy, P. Tosic, L. Chen, and G. Agha. An actor-based simulation for studying uav coordination. In ESS, pages 593--601, 2003.

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D. Kingston, R. W. Beard, and R. S. Holt. Decentralized perimeter surveillance using a team of uavs. IEEE Transactions on Robotics, 24(6):1394--1404, 2008.

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[5]

M. Pujol-Gonzalez, J. Cerquides, and P. Meseguer. MASPlanes simulation toolkit. http://youtu.be/A_TSWefhxwc. Accessed: 2014-01--20.

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[6]

S. F. Railsback, S. L. Lytinen, and S. K. Jackson. Agent-based simulation platforms: Review and development recommendations. Simulation, 82(9):609--623, 2006.

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Index Terms

MAS-planes: a multi-agent simulation environment to investigate decentralised coordination for teams of UAVs
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence

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Information & Contributors

Information

Published In

AAMAS '14: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems

May 2014

1774 pages

ISBN:9781450327381

General Chairs:
Ana Bazzan
UFRGS, Brazil
,
Michael Huhns
University of South Carolina, USA
,
Program Chairs:
Alessio Lomuscio
Imperial College London, UK
,
Paul Scerri
Carnegie Mellon University, USA

In-Cooperation

SIGAI: ACM Special Interest Group on Artificial Intelligence

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 05 May 2014

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Demonstration

Conference

AAMAS '14

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AAMAS '14: International conference on Autonomous Agents and Multi-Agent Systems

May 5 - 9, 2014

Paris, France

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AAMAS '14 Paper Acceptance Rate 169 of 709 submissions, 24%;

Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Index Terms

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