A systematic study of probabilistic aggregation strategies in swarm robotic systems

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2005

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Soysal, Onur

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In this study, a systematic analysis of probabilistic aggregation strategies in swarm robotic systems is presented. A generic aggregation behavior is proposed as a combination of four basic behaviors: obstacle avoidance, approach, repel, and wait. The latter three basic behaviors are combined using a three-state finite state machine with two probabilistic transitions among them. Two different metrics were used to compare performance of strategies. Through systematic experiments, how the aggregation performance, as measured by these two metrics, change 1) with transition probabilities, 2) with number of simulation steps, and 3) with arena size, is studied.

Subject Keywords

Computer software.

URI

http://etd.lib.metu.edu.tr/upload/12606460/index.pdf
https://hdl.handle.net/11511/15360

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

O. Soysal, “A systematic study of probabilistic aggregation strategies in swarm robotic systems,” M.S. - Master of Science, Middle East Technical University, 2005.