Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach
Minghao Li,Yingrui Jie,Yang Kong,Hui Cheng,Minghao Li,Yingrui Jie,Yang Kong,Hui Cheng
The problem of multi-robot navigation of connectivity maintenance is challenging in multi-robot applications. This work investigates how to navigate a multi-robot team in unknown environments while maintaining connectivity. We propose a reinforcement learning (RL) approach to develop a decentralized policy, which is shared among multiple robots. Given range sensor measurements and the positions of...
