Abstract
Social animals often form a predator front to charge through an aggregation of prey. It is observed that the nature of the feeding strategy dictates the geometric shape of these charging fronts. Inspired by this observation, we model foraging multi-robot fronts as a curve moving through a prey density. We optimize the shape of the curve using variational arguments and simulate the results to illustrate the operation of the proposed curve optimization algorithm.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 2011 American Control Conference, ACC 2011 |
| Pages | 4143-4148 |
| Number of pages | 6 |
| State | Published - Sep 29 2011 |
| Event | 2011 American Control Conference, ACC 2011 - San Francisco, CA, United States Duration: Jun 29 2011 → Jul 1 2011 |
Publication series
| Name | Proceedings of the American Control Conference |
|---|---|
| ISSN (Print) | 0743-1619 |
Other
| Other | 2011 American Control Conference, ACC 2011 |
|---|---|
| Country | United States |
| City | San Francisco, CA |
| Period | 6/29/11 → 7/1/11 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Fingerprint Dive into the research topics of 'Biologically motivated shape optimization of foraging fronts'. Together they form a unique fingerprint.
Cite this
Haque, M., Rahmani, A., Egerstedt, M., & Yezzi, A. (2011). Biologically motivated shape optimization of foraging fronts. In Proceedings of the 2011 American Control Conference, ACC 2011 (pp. 4143-4148). [5991167] (Proceedings of the American Control Conference).