Neither Fast Nor Slow: How to Fly Through Narrow Tunnels

Neural-Fly 实现强风环境下敏捷飞行的快速学习

Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds

针对强风下无人机精准控制难题，提出基于学习的Neural-Fly方法，用DAIML算法学习风况共享表征并通过复合自适应律快速调整，在高速风洞中跟踪误差优于现有方法，具鲁棒性且可泛化迁移。

Dense 3D Reconstruction for Visual Tunnel Inspection using Unmanned Aerial Vehicle

Advances in Unmanned Aerial Vehicle (UAV) opens venues for application such as tunnel inspection. Owing to its versatility to fly inside the tunnels, it can quickly identify defects and potential problems related to safety. However, long tunnels, especially with repetitive or uniform structures pose a significant problem for UAV navigation. Furthermore, post-processing visual data from the camera mounted on the UAV is required to generate useful information for the inspection task. In this work, we design a UAV with a single rotating camera to accomplish the task. Compared to other platforms, …

Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions

Realtime model learning proves challenging for complex dynamical systems, such as drones flying in variable wind conditions. Machine learning technique such as deep neural networks have high representation power but is often too slow to update onboard. On the other hand, adaptive control relies on simple linear parameter models can update as fast as the feedback control loop. We propose an online composite adaptation method that treats outputs from a deep neural network as a set of basis functions capable of representing different wind conditions. To help with training, meta-learning technique…

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

We propose a new method to estimate the 6-dof trajectory of a flying object such as a quadrotor UAV within a 3D airspace monitored using multiple fixed ground cameras. It is based on a new structure from motion formulation for the 3D reconstruction of a single moving point with known motion dynamics. Our main contribution is a new bundle adjustment procedure which in addition to optimizing the camera poses, regularizes the point trajectory using a prior based on motion dynamics (or specifically flight dynamics). Furthermore, we can infer the underlying control input sent to the UAV's autopilot…

Soliro——一种最少执行器的混合式动态倾转旋翼空中机械臂

Soliro -- a hybrid dynamic tilt-wing aerial manipulator with minimal actuators

本文提出Soliro，一种融合全向空中机械臂与VTOL混合平台的5DOF分体倾转翼机器人，仅用最少执行器且无需传统控制面，并通过风洞和过渡飞行验证其性能。

狭窄空间中无人机的干扰感知飞行

Disturbance-Aware Flight for Aerial Robots in Narrow Space

针对无人机在狭窄空间自主飞行因干扰和空间受限面临的挑战，提出干扰感知规划与控制框架DAPCF，通过双环观测器估计干扰、引入干扰风险函数及设计MDNMPC，使四旋翼能穿越狭窄隧道，性能优于人类飞行员。