1 citations · 1 across the 1 of their papers we have counts for
11 papers
High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning
Jiarui Zhang, Chengyong Lei, Chengjiang Dai +4
Quadrotor unmanned aerial vehicles (UAVs) are increasingly deployed in complex missions that demand reliable autonomous navigation and robust obstacle avoidance. However, tradition…
Precise Aggressive Aerial Maneuvers with Sensorimotor Policies
Tianyue Wu, Guangtong Xu, Zihan Wang +6
Precise aggressive maneuvers with lightweight onboard sensors remains a key bottleneck in fully exploiting the maneuverability of drones. Such maneuvers are critical for expanding…
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…
VLA-AN: An Efficient and Onboard Vision-Language-Action Framework for Aerial Navigation in Complex Environments
Yuze Wu, Mo Zhu, Xingxing Li +6
This paper proposes VLA-AN, an efficient and onboard Vision-Language-Action (VLA) framework dedicated to autonomous drone navigation in complex environments. VLA-AN addresses four…
Tracailer: An Efficient Trajectory Planner for Tractor-Trailer Robots in Unstructured Environments
Long Xu, Kaixin Chai, Boyuan An +11
The tractor-trailer robot consists of a drivable tractor and one or more non-drivable trailers connected via hitches. Compared to typical car-like robots, the addition of trailers…
Reactive Aerobatic Flight via Reinforcement Learning
Zhichao Han, Xijie Huang, Zhuxiu Xu +5
Quadrotors have demonstrated remarkable versatility, yet their full aerobatic potential remains largely untapped due to inherent underactuation and the complexity of aggressive man…