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An Analysis of Collective Movement Models for Robotic Swarms

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4 Author(s)
W. A. F. W. Othman ; Microsystems and Machine Vision Laboratory, Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield S1 1WB, United Kingdom; Electrical Electronics Engineering, University Science of Malaysia, 14300 Nibong Tebal, Malaysia. e-mail: wan.a.othman@student.shu.ac.uk ; B. P. Amavasai ; S. P. McKibbin ; F. Caparrelli

A swarm is defined as a set of two or more independent homogeneous or heterogeneous agents acting in a common environment, in a coherent fashion, and which generates emergent behavior. The creation of artificial swarms or robotic swarms has attracted many researchers in the last two decades. Many studies have been undertaken using practical approaches to swarm construction such as investigating the navigation of the swarm, task allocation and elementary construction. This paper examines aggregations that emerge from three different movement models of relatively simple agents. The agents only differ in their maximum turning angle and their sensing range.

Published in:

EUROCON, 2007. The International Conference on "Computer as a Tool"

Date of Conference:

9-12 Sept. 2007