Improving collision avoidance behavior of a target-searching algorithm for Kilobots
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Author (Corporation)
Publication date
2021
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01A - Journal article
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Journal of Robotics and Control
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Volume
2
Issue / Number
6
Pages / Duration
588-593
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Publisher / Publishing institution
Universitas Muhammadiyah Yogyakarta
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Abstract
Collision avoidance in the area of swarm robotics is very important. The lacking ability of such collision avoidance is mentioned as one important reason for the sparse distribution of the small test robots named Kilobots. In this research paper, two new algorithms providing a collision avoidance strategy are presented and compared with previous research results. The first algorithm uses randomness to decide which one of several approaching Kilobots are stopped for a defined time before starting to move again. The second algorithm tries to determine the assumed position of approaching Kilobots based on its radio signal strength and then to move away in the opposite direction by rotation. The results, especially of the second algorithm, are promising as the number of collisions can be significantly reduced.
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ISBN
ISSN
2715-5056
2715-5072
2715-5072
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Gold
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Citation
Horst, A., Kaba, E., Dornberger, R., & Hanne, T. (2021). Improving collision avoidance behavior of a target-searching algorithm for Kilobots. Journal of Robotics and Control, 2(6), 588–593. https://doi.org/10.18196/jrc.26141