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 |
|---|---|
| Title of host publication | Proceedings of the American Control Conference |
| 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 |
Other
| Other | 2011 American Control Conference, ACC 2011 |
|---|---|
| Country | United States |
| City | San Francisco, CA |
| Period | 6/29/11 → 7/1/11 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Biologically motivated shape optimization of foraging fronts. / Haque, Musad; Rahmani, Amir; Egerstedt, Magnus; Yezzi, Anthony.
Proceedings of the American Control Conference. 2011. p. 4143-4148 5991167.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Biologically motivated shape optimization of foraging fronts
AU - Haque, Musad
AU - Rahmani, Amir
AU - Egerstedt, Magnus
AU - Yezzi, Anthony
PY - 2011/9/29
Y1 - 2011/9/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80053161007&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053161007&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9781457700804
SP - 4143
EP - 4148
BT - Proceedings of the American Control Conference
ER -