Swarm Robots Hunting Behavior Based on Particle Swarm Optimization

摘要

According to unknown environment for swarm robots hunting problem to study, grid modeling method is to be used. And give 4 roles to the robots in the hunting process. Analysis swarm robots motion control strategy, to ensure hunting points. Formulate the move path with particle swarm optimization, and find out the optimal path to the hunting points. Simulation results show that the particle swarm algorithm combined with hunting process strategy feasibility and effectiveness.