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A collective robotic architecture in search and rescue scenarios

Published: 18 March 2013 Publication History

Abstract

Multi-robot systems (MRS) may be very useful on assisting humans in many distributed activities, especially for search and rescue (SaR) missions in hazardous scenarios. However, there is a lack of full distributed solutions, addressing the advantages and limitations along different aspects of team operation, like communication requirements or scalability. In this paper, the effects of distributed group configurations are studied and results are drawn from collective exploration and collective inspection tasks in SaR scenarios, with the aim of understanding the main tradeoffs, and distilling design guidelines of collective architectures. With this purpose, extensive simulation experiments of MRS in a SaR scenario were carried out.

References

[1]
R. Murphy, S. Tadokoro, D. Nardi, A. Jacoff, P. Fiorini, H. Choset, and A. Erkmen, "Search and Rescue Robotics", In B. Siciliano, O. Khatib (Eds.), Handbook of Robotics, Springer, pp. 1151--1173, 2008.
[2]
G. Kruijff et al., "Experience in System Design for Human-Robot Teaming in Urban Search & Rescue", In Proc. of 8th Int. Conf. on Field and Service Robotics (FSR 2012), Matsushima, Japan, Jul. 16--19, 2012.
[3]
Y. Guo, L. Parker, R. Madhavan, "Collaborative Robots for Infrastructure Security Applications". In Studies in Computational Intelligence (SCI), vol. 50, pp. 185--200. Springer, Heidelberg (2007), April 22, 2007.
[4]
R. Rocha, "Building Volumetric Maps with Cooperative Mobile Robots and Useful Information Sharing: a Distributed Control Approach based on Entropy", Ph.D. thesis, Faculty of Engineering of University of Porto, Portugal, 2006.
[5]
R. Smith, M. Self, and P. Cheeseman, "Estimating Uncertain Spatial Relationships in Robotics". Autonomous Robot Vehicles, pp. 167--193, 1990.
[6]
A. Howard, "Multi-robot Simultaneous Localization and Mapping using Particle Filters", Int. Journal of Robotics Research, pp. 25(12):1243--1256, 2006.
[7]
J. Suarez and R. Murphy, "A Survey of Animal Foraging for Directed, Persistent Search by Rescue Robotics," In Proc. of the 2011 IEEE International Symposium on Safety, Security and Rescue Robotics, pp. 314--320, Kyoto, Japan, 2011.
[8]
J. Kennedy and R. Eberhart, "A new optimizer using particle swarm theory", In Proc. of the IEEE 6th Int. Symposium on Micro Machine and Human Science, pp. 39--43, 1995.
[9]
H. Q. Min, J. H. Zhu, and X. J. Zheng, "Obstacle Avoidance", In Proc. Int. Conf. on Machine Learning and Cybernetics, pp. 2950--2956, 2005.
[10]
J. Pugh and A. Martinoli, "Multi-Robot Learning with Particle Swarm Optimization", In Proc. of the 5th Int. Joint Conf. on Autonomous Agents and Multiagent Systems, 2006.
[11]
M. S. Couceiro, R. P. Rocha, and N. M. F. Ferreira, "A Novel Multi-Robot Exploration Approach based on Particle Swarm Optimization Algorithms", In IEEE Int. Symp. on Safety, Security, and Rescue Robotics, Kyoto, Japan, pp. 327--332, 2011.
[12]
J. Tillett, T. M. Rao, F. Sahin, R. Rao and S. Brockport, "Darwinian Particle Swarm Optimization", In 2nd Indian Int. Conf. on Artificial Intelligence, pp. 1474--1487, 2005.
[13]
H. Choset, "Coverage for robotics - A survey of recent results", Annals of Mathematics and Artificial Intelligence, Vol. 31, pp. 113--126, 2001.
[14]
J. W. Durham, R. Carli, P. Frasca and F. Bullo, "Discrete Partitioning and Coverage Control for Gossiping Robots", IEEE Transactions on Robotics, Vol. 28, No. 2, April 2012.
[15]
N. Agmon, N. Hazon and G. Kaminka, "Constructing spanning trees for efficient multi-robot coverage", In Proc. of the 2006 IEEE Int. Conf. on Robotics and Automation (ICRA'2006), Orlando, Florida, USA, 15--19 May 2006.
[16]
Z. J. Butler, A. A. Rizzi and R. L. Hollis, "Contact sensor-based coverage of rectilinear environments", In Proc. of the IEEE Int. Symp. on Intelligent Control, September 1999.
[17]
M. Schwager, J. McLurkin, J. E. Slotine, D. Rus, "From Theory to Practice: Distributed Coverage Control Experiments with Groups of Robots", In Proc. of the 11th International Symposium on Experimental Robotics (ISER'2008), July 14--18, Athens, Greece, 2008.
[18]
D. Portugal and R. P. Rocha, "Decision Methods for Distributed Multi-Robot Patrol". In IEEE Int. Symp. on Safety, Security and Rescue Robotics, pp. 137--143, College Station, Texas, USA, Nov. 8--11, 2012.

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cover image ACM Conferences
SAC '13: Proceedings of the 28th Annual ACM Symposium on Applied Computing
March 2013
2124 pages
ISBN:9781450316569
DOI:10.1145/2480362
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 18 March 2013

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Author Tags

  1. collective architecture
  2. distributed multi-robot systems
  3. group configurations

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SAC '13
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SAC '13: SAC '13
March 18 - 22, 2013
Coimbra, Portugal

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SAC '13 Paper Acceptance Rate 255 of 1,063 submissions, 24%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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  • (2024)Fast Swarming of UAVs in GNSS-Denied Feature-Poor Environments Without Explicit CommunicationIEEE Robotics and Automation Letters10.1109/LRA.2024.33905969:6(5284-5291)Online publication date: Jun-2024
  • (2022)Decentralized swarms of unmanned aerial vehicles for search and rescue operations without explicit communicationAutonomous Robots10.1007/s10514-022-10066-547:1(77-93)Online publication date: 21-Oct-2022
  • (2020)A distributed approach for autonomous cooperative transportation in a dynamic multi-robot environmentProceedings of the 35th Annual ACM Symposium on Applied Computing10.1145/3341105.3373980(792-799)Online publication date: 30-Mar-2020
  • (2019)Robot Swarm Navigation and Victim Detection Using Rendezvous Consensus in Search and Rescue OperationsApplied Sciences10.3390/app90817029:8(1702)Online publication date: 25-Apr-2019
  • (2019)Collaborative Mapping with Pose Uncertainties using different Radio Frequencies and Communication Modules2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS40897.2019.8968035(8209-8214)Online publication date: Nov-2019
  • (2019)Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication2019 Third IEEE International Conference on Robotic Computing (IRC)10.1109/IRC.2019.00076(413-414)Online publication date: Feb-2019
  • (2019)A Multi-Objective Optimization Approach to Robot Localization of Single and Multiple Emission SourcesProcedia Manufacturing10.1016/j.promfg.2019.06.02035(755-761)Online publication date: 2019
  • (2018)A New Multi-Robot Search Algorithm Using Probabilistic Finite State Machine and Lennard-Jones Potential Function2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)10.1109/ROBIO.2018.8665082(850-855)Online publication date: Dec-2018
  • (2018)Towards Self-Organizing UAV Ad-Hoc Networks Through Collaborative Sensing and Deployment2018 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2018.8647985(1-7)Online publication date: 9-Dec-2018
  • (2018)A Darwinian Swarm Robotics Strategy Applied to Underwater Exploration2018 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2018.8477738(1-6)Online publication date: Jul-2018
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