Biologically motivated shape optimization of foraging fronts

Musad Haque, Amir Rahmani, Magnus Egerstedt, Anthony Yezzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of the American Control Conference
Pages4143-4148
Number of pages6
StatePublished - Sep 29 2011
Event2011 American Control Conference, ACC 2011 - San Francisco, CA, United States
Duration: Jun 29 2011Jul 1 2011

Other

Other2011 American Control Conference, ACC 2011
CountryUnited States
CitySan Francisco, CA
Period6/29/117/1/11

Fingerprint

Shape optimization
Animals
Agglomeration
Robots

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Haque, M., Rahmani, A., Egerstedt, M., & Yezzi, A. (2011). Biologically motivated shape optimization of foraging fronts. In Proceedings of the American Control Conference (pp. 4143-4148). [5991167]

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 proceedingConference contribution

Haque, M, Rahmani, A, Egerstedt, M & Yezzi, A 2011, Biologically motivated shape optimization of foraging fronts. in Proceedings of the American Control Conference., 5991167, pp. 4143-4148, 2011 American Control Conference, ACC 2011, San Francisco, CA, United States, 6/29/11.
Haque M, Rahmani A, Egerstedt M, Yezzi A. Biologically motivated shape optimization of foraging fronts. In Proceedings of the American Control Conference. 2011. p. 4143-4148. 5991167
Haque, Musad ; Rahmani, Amir ; Egerstedt, Magnus ; Yezzi, Anthony. / Biologically motivated shape optimization of foraging fronts. Proceedings of the American Control Conference. 2011. pp. 4143-4148
@inproceedings{a4f93499984743d38bfabaca0872e522,
title = "Biologically motivated shape optimization of foraging fronts",
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.",
author = "Musad Haque and Amir Rahmani and Magnus Egerstedt and Anthony Yezzi",
year = "2011",
month = "9",
day = "29",
language = "English",
isbn = "9781457700804",
pages = "4143--4148",
booktitle = "Proceedings of the American Control Conference",

}

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 -