Abstract
Numerous social foragers form a foraging front that sweeps through the aggregation of prey. Based on this strategy, and using variational arguments, we develop an algorithm to provide a group-level specification of the shape of the sweeping front for a foraging multi-robot system. The presented flux-based algorithm has the desired property of generating more regular shapes than previously introduced algorithms.
| Original language | English (US) |
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| Title of host publication | 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 |
| Pages | 859-864 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2011 |
| Event | 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 - Phuket, Thailand Duration: Dec 7 2011 → Dec 11 2011 |
Publication series
| Name | 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 |
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Other
| Other | 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 |
|---|---|
| Country | Thailand |
| City | Phuket |
| Period | 12/7/11 → 12/11/11 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
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Haque, M., Rahmani, A., Egerstedt, M., & Yezzi, A. (2011). Optimization of foraging multi-agent system front: A flux-based curve evolution method. In 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 (pp. 859-864). [6181395] (2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011). https://doi.org/10.1109/ROBIO.2011.6181395