分布式无人机群研究的高效平台设计

Zhongxuan Cai, Xuefeng Chang, Minglong Li
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引用次数: 0

摘要

无人驾驶飞行器(uav)在研究和教育领域受到越来越多的关注。具体来说,蜂群智能是无人机发展前景广阔的技术,也是多智能体系统研究的前沿。它具有个体成本低、系统灵活性和鲁棒性强等特点,在许多任务中具有很大的应用潜力。然而,由于研究条件和成本的限制,目前对大型蜂群无人机的研究大多是在仿真环境下进行的。构建低成本的开源群无人机软硬件平台是推进群无人机和多智能体系统研究的重要基础。本文提出了一种具有通用成本效益硬件和丰富开源软件生态系统的无人机平台设计,并提供了一种基于开源机器人操作系统ROS的群体机器人软件解决方案。这些软件包支持群体行为和不同通信拓扑的快速编程开发。针对典型的无人机任务(如群集和编队)进行了实验,表明了所提出平台的有效性。
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A Cost-Efficient Platform Design for Distributed UAV Swarm Research
Unmanned Aerial Vehicles (UAVs) have been attracting more and more attention in research and education. Specifically, Swarm intelligence is a promising future technology of UAVs and the frontier of multi-agent system research. It has the characteristics of low individual cost, strong system flexibility and robustness, and has great potential in many tasks. However, due to the constraints of research conditions and cost, most of the current researches on large-scale swarm UAVs are carried out in the simulation environment. Building a low-cost open-source software and hardware platform for swarm UAVs is an important basis for promoting researches on swarm UAVs and multi-agent systems. In this paper, we propose a design of a UAV platform with common cost-efficient hardware and a rich open-source software ecosystem, and provide a software solution for swarm robots based on the open-source robot operating system ROS. These software packages support the rapid programming development of swarm behaviors and different communication topology. Experiments have been conducted for typical UAV tasks like flocking and formation, indicating the effectiveness of the proposed platform.
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