Research on Self-Organizing Target Hunting for Mobile Robot Group

Abstract

Aiming at the formation of aggregation behavior model of swarm robots, a self-organizing motion model based on particle system mechanics and perceptual state weighting is established to realize the autonomous transfer of robot motion state. Using the selected model, the self-organizing aggregation behavior simulation experiments are conducted for two cases with boundary constraints and no boundary constraints. The maximum coverage of different groups of scale is realized, and the correctness of the trap model is verified by the target hunting test of the group robot with random position.