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Published in: Soft Computing 6/2018

11-05-2016 | Methodologies and Application

Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots

Authors: Hyondong Oh, Ataollah R. Shiraz, Yaochu Jin

Published in: Soft Computing | Issue 6/2018

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Abstract

This paper investigates self-organised collective formation control using swarm robots. In particular, we focus on collective tracking and herding using a large number of very simple robots. To this end, we choose kilobots as our swarm robot test bed due to its low cost and attractive operational scalability. Note, however, that kilobots have extremely limited locomotion, sensing and communication capabilities. To handle these limitations, a number of new control algorithms based on morphogen diffusion and network connectivity preservation have been suggested for collective object tracking and herding. Numerical simulations of large-scale swarm systems as well as preliminary physical experiments with a relatively small number of kilobots have been performed to verify the effectiveness of the proposed algorithms.

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Metadata
Title
Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots
Authors
Hyondong Oh
Ataollah R. Shiraz
Yaochu Jin
Publication date
11-05-2016
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 6/2018
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-016-2182-2

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