4 papers
Flying in Clutter on Monocular RGB by Learning in 3D Radiance Fields with Domain Adaptation
Xijie Huang, Jinhan Li, Tianyue Wu +3
Modern autonomous navigation systems predominantly rely on lidar and depth cameras. However, a fundamental question remains: Can flying robots navigate in clutter using solely mono…
Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion Models
Yuhang Zhong, Anke Zhao, Tianyue Wu +2
Performing striking aerobatic flight in complex environments demands manual designs of key maneuvers in advance, which is intricate and time-consuming as the horizon of the traject…
FLOAT Drone: A Fully-actuated Coaxial Aerial Robot for Close-Proximity Operations
Junxiao Lin, Shuhang Ji, Yuze Wu +3
How to endow aerial robots with the ability to operate in close proximity remains an open problem. The core challenges lie in the propulsion system's dual-task requirement: generat…
Flying on Point Clouds with Reinforcement Learning
Guangtong Xu, Tianyue Wu, Zihan Wang +2
A long-cherished vision of drones is to autonomously traverse through clutter to reach every corner of the world using onboard sensing and computation. In this paper, we combine on…