Multi-Robot System for Mapping of the Unknown Environment

Martin Vondráček; Martin Dekan; František Duchoň; Stanislav Števo

doi:10.4028/www.scientific.net/AMM.511-512.827

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 511-512Multi-Robot System for Mapping of the Unknown...

Multi-Robot System for Mapping of the Unknown Environment

Abstract:

The aim of this article is proposal and implementation of the multi-robot system for mapping of the unknown environment. For the localization of each robot, simple odometry was used. Navigation of the robots is based on algorithm similar to bug algorithms. Communication between robots is based on polling. The system was implemented on the platform iRobot Create. Practical experiments have proven that multi-robot system for mapping of the unknown environment is faster and more reliable than single robot system.

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Periodical:

Applied Mechanics and Materials (Volumes 511-512)

Pages:

827-833

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.511-512.827

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Online since:

February 2014

Authors:

Martin Vondráček, Martin Dekan, František Duchoň*, Stanislav Števo

Keywords:

Mapping of the Unknown Environment, Multi-Robot System

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* - Corresponding Author

References

[1] T. Arai, E. Pagello and L. E. Parker: Editorial: Advances in Multi-Robot Systems, IEEE Transactions on Robotics and Automation, Vol. 18, No. 5, 2012, pp.655-661.

DOI: 10.1109/tra.2002.806024

Google Scholar

[2] D. Milutinovic and P. Lima: Modeling and Optimal Centralized Control of a Large-Size Robotics Population, IEEE Transactions on Robotics, Vol. 22, No. 6, 2006, pp.1280-1285.

DOI: 10.1109/tro.2006.882941

Google Scholar

[3] B. Siciliano and O. Khatib: Springer Handbook of Robotics, Springer-Verlag Berlin Heidelberg, (2008).

Google Scholar

[4] iRobot Create Owner`s Guide. Information on http: /www. irobot. com/filelibrary/create/create %20manual_final. pdf.

Google Scholar

[5] T. Bräunl: Embedded Robotics, Springer-Verlag Berlin Heidelberg, (2006).

Google Scholar

[6] A. Janota, J. Spalek and J. Šebeňová: Multiagent system-based modeling of traffic control system behavior, WMSCI 2010 : the 14th world multi-conference on systemics, cybernetics and informatics; IMSCI´10 : the 4th international multi-conference on society, cybernetics and informatics; IMETI 2010 : the 3rd international multi-conference on engineering and technological innovation : June 29th-July 2nd, 2010, Orlando, Florida, USA.

DOI: 10.54808/wmsci2022.03

Google Scholar

[7] M. Kelemen and R. König: Robot for the inspection of limited space, AT&P journal Plus, Vol. 2, 2006, pp.78-82.

Google Scholar