An Approach for Active Odor Source Localization Based on Particle Swarm Optimization

摘要

This paper discusses the multi-robot cooperation positioning based on particle swarm optimization (PSO) search strategies. A group of active olfaction robots can find the position of odor source depend on the new “active olfaction” arithmetic. The active olfaction robot is regarded as a particle which can exchange message with each other.The simulation experiment wind field is built based on turbulent fluid model. A series of simulation experiments were performed to test the new localization arithmetic, and the experimental results were analysed.