Deep Learning Based Formation Control for the Multi-Agent Coordination
Qishuai Liu, Emmanuel Moulay, Patrick Coirault, Qing Hui · 2019
Formation control of multi-agent systems has been an important task in the fields of automatic control and robotics. The aim of this paper is to develop a deep learning based formation control strategy for the multi-agent systems by using the backpropagation algorithm. Specifically, the deep learning network can be treated as the feedback controller, thus the multi-agent system can use the network output as its input to achieve the formation control. The algorithm has been tested on a multirobot system to verify the effectiveness of the proposed method.