Title: A self-organising cooperative hunting by robotic swarm based on particle swarm optimisation localisation

Authors: Zebing Wang; Li Qin; Wei Yang

Addresses: National Key Laboratory for Electronic Measurement Technology, North University of China, Shanxi, 030051, China; School of Mechanical Engineering and Automation, North University of China, Shanxi, 030051, China ' National Key Laboratory for Electronic Measurement Technology, North University of China, Shanxi, 030051, China ' National Key Laboratory for Electronic Measurement Technology, North University of China, Shanxi, 030051, China

Abstract: A novel self-organising approach to cooperative hunting by robotic swarm is put forward. Each individual can simply detect the direction angle of moving target. By using particle swarm optimisation (PSO), locating target can be realised through the individual's local interaction. Collective hunting behaviour emerged when human object moved through the detection area. Simulations and experiments demonstrate the feasibility and effectiveness of the proposed approach to cooperative hunting by swarm robotic systems.

Keywords: robotic swarm; PSO localisation; particle swarm optimisation; self-organising robots; cooperative hunting; direction angle; moving targets; simulation; target location; swarm robots; swarm intelligence.

DOI: 10.1504/IJBIC.2015.068001

International Journal of Bio-Inspired Computation, 2015 Vol.7 No.1, pp.68 - 73

Received: 16 Dec 2014
Accepted: 03 Jan 2015
Published online: 12 Mar 2015 *

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