DocumentCode
2350932
Title
Mixed Species Flocking for Heterogeneous Robotic Swarms
Author
Momen, Sifat ; Amavasai, Bala P. ; Siddique, Nazmul H.
Author_Institution
Mater. & Eng. Res. Inst., Sheffield
fYear
2007
fDate
9-12 Sept. 2007
Firstpage
2329
Lastpage
2336
Abstract
Flocking models have numerous applications. Some include the simulation of traffic patterns such as the flow of cars on a freeway which has a flock-like motion, animating troop movement in real-time strategy games and in simulating mobile robot movement. Such numerous applications in different areas make the study of flocking efficiency a necessity. The originality of this paper lies in the extension of single species flocking models into the more complex mixed species flocking arrangement. The objective of this paper is threefold: (i) to provide a definition for flocking efficiency, (ii) to develop and analyze a first model for mixed species flocking, and finally (iii) to model and implement "heterospecific-attraction" between different agent types to improve the flocking efficiency in a mixed species flocking environment. The proposed model for mixed species flocking is highly efficient, accurate and consistent with the biological equivalents. The model offers benefit to heterogeneous and multi-robot systems.
Keywords
mobile robots; multi-agent systems; multi-robot systems; autonomous agent; heterogeneous robotic swarms; heterospecific agent attraction; mixed species flocking; multi robot system; Animals; Animation; Biological system modeling; Birds; Computational modeling; Computer vision; Intelligent robots; Machine vision; Robot vision systems; Traffic control; Swarm robotics; flocking; mixed-species flocking heterospecific attraction;
fLanguage
English
Publisher
ieee
Conference_Titel
EUROCON, 2007. The International Conference on "Computer as a Tool"
Conference_Location
Warsaw
Print_ISBN
978-1-4244-0813-9
Electronic_ISBN
978-1-4244-0813-9
Type
conf
DOI
10.1109/EURCON.2007.4400455
Filename
4400455
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