In this paper, a novel hybrid multi-robot motion planner that can be applied under non-communication and local observable conditions is presented. The planner is model-free and can realize the end-to-end mapping of multi-robot state and observation information to final smooth and continuous trajectories. The planner is a front-end and back-end separated architecture. The design of the front-end collaborative waypoints searching module is based on the multi-agent soft actor-critic algorithm under the centralized training with decentralized execution diagram. The design of the back-end trajectory optimization module is based on the minimal snap method with safety zone constraints. This module can output the final dynamic-feasible and executable trajectories. Finally, multi-group experimental results verify the effectiveness of the proposed motion planner.
@article{arxiv.2112.06594,
title = {Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots},
author = {Zichen He and Lu Dong and Chunwei Song and Changyin Sun},
journal= {arXiv preprint arXiv:2112.06594},
year = {2021}
}