论文标题
使用新型无人机网络物理系统的空中操作
Aerial Manipulation Using a Novel Unmanned Aerial Vehicle Cyber-Physical System
论文作者
论文摘要
无人驾驶飞机(UAV)的机动性和感官能力越来越多,作为与环境智能互动的有前途的远程操作平台。这项工作提出了一种新型的5度自由(DOF)无人驾驶飞机(UAV)网络物理系统,用于空中操纵。该无人机的身体能够在纵向方向上施加强大的推进力,从而将平移动力学和纵向平面上的旋转动力学脱在一起。提出了一项高级阻抗控制法,以驱动车辆与环境进行轨迹跟踪和相互作用。此外,提议将基于视觉的实时目标识别和跟踪方法与特征跟踪集成了Yolo V3实时对象检测器,并建议在车辆上实施形态操作,并支持模型压缩技术在车辆上实施,以消除传统电视平台上的视频无线变速箱和繁重的计算负担引起的延迟。
Unmanned Aerial Vehicles(UAVs) are attaining more and more maneuverability and sensory ability as a promising teleoperation platform for intelligent interaction with the environments. This work presents a novel 5-degree-of-freedom (DoF) unmanned aerial vehicle (UAV) cyber-physical system for aerial manipulation. This UAV's body is capable of exerting powerful propulsion force in the longitudinal direction, decoupling the translational dynamics and the rotational dynamics on the longitudinal plane. A high-level impedance control law is proposed to drive the vehicle for trajectory tracking and interaction with the environments. In addition, a vision-based real-time target identification and tracking method integrating a YOLO v3 real-time object detector with feature tracking, and morphological operations is proposed to be implemented onboard the vehicle with support of model compression techniques to eliminate latency caused by video wireless transmission and heavy computation burden on traditional teleoperation platforms.