Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots

• URL: http://arxiv.org/abs/2112.06594v1
• Date: Mon, 13 Dec 2021 12:23:30 GMT
• Title: Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots
• Authors: Zichen He and Lu Dong and Chunwei Song and Changyin Sun
• Abstract summary: 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 design of the back-end trajectory optimization module is based on the minimal snap method with safety zone constraints.
• Score: 16.402201426448002
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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