Design and implementation of multi-robot cooperative tracking

Abstract

Multi-robot cooperation is a Cutting-edge topic in multi-robot research, in which objects tracking is an important and typical problems. Based on the reinforcement learning and multi-agent theory, a decision-making algorithm and a cooperative formation control algorithm for multi-robot tracking are proposed, and more than one cooperation forms for chaser robot are presented. Finally the corresponding simulation experiments are conducted to show the validation of the proposed algorithms.