Dynamic peloton formation configuration algorithm of swarm robots for aerodynamic effects optimization
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Conference Proceeding
Source Title
2019 7th International Conference on Robot Intelligence Technology and Applications, RiTA 2019
First Page
264
Last Page
267
Publication Date
11-1-2019
Abstract
This paper presents a flocking and formation algorithm adapted from the flocking behavior of cycling team or pelotons. Several multi agent applications require efficient positioning of the agents in static and dynamic tasks. It was verified physically that an optimal distance in a peloton formation, the agents take reduced drag due to the inherent drag resistant characteristic of the formation. The said conditions were implemented in an algorithm in a swarm of wheeled robots. Experiment results show that the optimal distance between agents were attained. It was shown that the adaptation of peloton behavior in artificial agents brought efficient formation and foraging trajectories and behaviors. © 2019 IEEE.
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Digitial Object Identifier (DOI)
10.1109/RITAPP.2019.8932871
Recommended Citation
Bedruz, R. R., Maningo, J., Fernando, A. H., Bandala, A. A., Vicerra, R. P., & Dadios, E. P. (2019). Dynamic peloton formation configuration algorithm of swarm robots for aerodynamic effects optimization. 2019 7th International Conference on Robot Intelligence Technology and Applications, RiTA 2019, 264-267. https://doi.org/10.1109/RITAPP.2019.8932871
Disciplines
Electrical and Computer Engineering | Electrical and Electronics | Systems and Communications
Keywords
Swarm intelligence; Multiagent systems
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