Optimization of foraging multi-agent system front: A flux-based curve evolution method

Musad Haque, Amir Rahmani, Magnus Egerstedt, Anthony Yezzi

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

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Pages859-864
Number of pages6
DOIs
StatePublished - Dec 1 2011
Event2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 - Phuket, Thailand
Duration: Dec 7 2011Dec 11 2011

Publication series

Name2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

Other

Other2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
CountryThailand
CityPhuket
Period12/7/1112/11/11

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Haque, M., Rahmani, A., Egerstedt, M., & Yezzi, A. (2011). Optimization of foraging multi-agent system front: A flux-based curve evolution method. In 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 (pp. 859-864). [6181395] (2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011). https://doi.org/10.1109/ROBIO.2011.6181395