Abstract
Quad-copters, sometimes called quad-rotors or quad-rotor helicopters, are currently a very popular platform for robotics research, primarily due to their properties, such as small size and mechanical simplicity. Coordination in multi-robot systems is one of the open issues of swarm robotics. Space exploration and mapping are crucial abilities of mobile robots for the intelligent autonomous systems. This paper proposes a solution for space exploration and surveillance based on several biologically inspired methods and algorithms. The best form to represent the results form research simulations is the 3D visualization. The paper also describes the developed tool for visualization of more than one quad-copters as mobile agents during simulation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Masár, M., Zelenka, J.: Modification of PSO algorithm for the purpose of space exploration. In: SAMI 2012: Proceedings, pp. 223–226. IEEE, Piscataway (2012) ISBN 978-1-4577-0195-5
Kennedy, J., Eberhart, R.: A new optimizer using particle swarm theory. In: Proceedings of the IEEE Sixth International Symposium on Micro machine and Human Science, pp. 39–43 (1995) ISBN: 0-7803-2676-8
Hereford, J.M., Siebold, M.A.: Bio-inspired search strategies for robot swarms. In: Martin, E.M. (ed.) Swarm Robotics From Biology to Robotics. InTech (2010) ISBN: 978-953-307-075-9
Ramos, V., Handl, J., Dorigo, M., Bonabeau, E., Lumer, E.D., Faieta, B.: The swarm intelligence science, http://www.uni-weimar.de/cms/index.php?id=4394
Dorigo, M., Stutzle, T.: Ant Colony Optimization. MIT Press (2004) ISBN 0-262-04219-3
Kalivarapu, V., Winer, E.: Implementation of Digital Pheromones in Particle Swarm Optimization for Constrained Optimization Problems. In: 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Schaumburg, IL (2008)
Shang, L., Kai, C., Guan, H., Liang, A.: A Map-Coverage Algorithm Basing on Particle Swarm Optimization, Scalcom-embeddedcom. In: 2009 International Conference on Scalable Computing and Communications; Eighth International Conference on Embedded Computing, vol. 9, pp. 87–91 (2009) ISBN 978-0-7695-3825-9
Reynolds, C.W.: Flocks, herds and schools: A distributed behavioral model. In: SIGGRAPH 1987: Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques, pp. 25–34. Association for Computing Machinery (1987), doi:10.1145/37401.37406, ISBN 0-89791-227-6
Swarm Intelligence -EVALife Group, Dept. of Computer Science, University of Aarhus Thiemo Krink, http://faculty.washington.edu/paymana/swarm/krink_01.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Masár, M., Pajorová, E. (2013). Cooperative Mobile Agents for Swarm Behavior Simulation. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2013. Lecture Notes in Computer Science, vol 8091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40840-3_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-40840-3_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40839-7
Online ISBN: 978-3-642-40840-3
eBook Packages: Computer ScienceComputer Science (R0)