论文标题
蜂群:无人机的异质群,用于稳健的自主降落在移动机器人上
SwarmHive: Heterogeneous Swarm of Drones for Robust Autonomous Landing on Moving Robot
论文作者
论文摘要
该论文着重于无人机的异质群,以实现移动机器人的动态登陆。科学家尚未实现这项具有挑战性的任务。关键技术是,我们没有用计算机视觉来促进无人机群的每个代理,这大大增加了有效载荷并缩短飞行时间,而是建议在领导者无人机上仅安装一台相机。追随者无人机从无人机中接收命令,并保持无冲突的轨迹。实验结果表明,群体降落在静态移动平台上(4.48厘米的RMSE)上很高。 RMSE群落在移动平台上的降落,最大速度为1.0 m/s和1.5 m/s,分别为8.76 cm和8.98 cm。拟议的蜂群技术将允许蜂群的省时降落,以进一步为无人机充电。这将使在救援操作,检查和维护,自主仓库库存,货物交付等方面实现多代理机器人系统的自我维护操作。
The paper focuses on a heterogeneous swarm of drones to achieve a dynamic landing of formation on a moving robot. This challenging task was not yet achieved by scientists. The key technology is that instead of facilitating each agent of the swarm of drones with computer vision that considerably increases the payload and shortens the flight time, we propose to install only one camera on the leader drone. The follower drones receive the commands from the leader UAV and maintain a collision-free trajectory with the artificial potential field. The experimental results revealed a high accuracy of the swarm landing on a static mobile platform (RMSE of 4.48 cm). RMSE of swarm landing on the mobile platform moving with the maximum velocities of 1.0 m/s and 1.5 m/s equals 8.76 cm and 8.98 cm, respectively. The proposed SwarmHive technology will allow the time-saving landing of the swarm for further drone recharging. This will make it possible to achieve self-sustainable operation of a multi-agent robotic system for such scenarios as rescue operations, inspection and maintenance, autonomous warehouse inventory, cargo delivery, and etc.