Title :
Optimization of foraging multi-agent system front: A flux-based curve evolution method
Author :
Haque, Musad ; Rahmani, Amir ; Egerstedt, Magnus ; Yezzi, Anthony
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
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.
Keywords :
computational geometry; mobile robots; multi-robot systems; optimisation; flux-based curve evolution method; foraging multiagent system front optimization; foraging multirobot system; group-level specification; prey aggregation; variational arguments; Dolphins; Educational institutions; Multiagent systems; Multirobot systems; Robot kinematics; Shape;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on
Conference_Location :
Karon Beach, Phuket
Print_ISBN :
978-1-4577-2136-6
DOI :
10.1109/ROBIO.2011.6181395
