Title :
Biologically motivated shape optimization of foraging fronts
Author :
Haque, M. ; Rahmani, A. ; Egerstedt, M. ; Yezzi, A.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
June 29 2011-July 1 2011
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.
Keywords :
mobile robots; multi-robot systems; optimisation; predator-prey systems; biologically motivated shape optimization; curve optimization algorithm; feeding strategy; foraging fronts; foraging multirobot fronts; social animals; variational arguments; Biological system modeling; Cost function; Heuristic algorithms; Mathematical model; Predator prey systems; Shape;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991167