20 citations · 20 across the 6 of their papers we have counts for
6 papers · 1 filter
WaveLander: A Generalizable Hierarchical Control Framework for UAV Landing on Wave-Disturbed Platforms via Reinforcement Learning
Chun-Kit Li, Iok Long Sit, Ming Fung Siu +4
Autonomous landing of unmanned aerial vehicles (UAVs) on wave-disturbed marine platforms remains challenging due to stochastic platform motion, time-varying platform attitude, and…
PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers
Pengyu Wang, Hin Wang Lin, Jialu Li +3
Using underwater robots instead of humans for the inspection of coastal piers can enhance efficiency while reducing risks. A key challenge in performing these tasks lies in achievi…
ROLO-SLAM: Rotation-Optimized LiDAR-Only SLAM in Uneven Terrain with Ground Vehicle
Yinchuan Wang, Bin Ren, Xiang Zhang +5
LiDAR-based SLAM is recognized as one effective method to offer localization guidance in rough environments. However, off-the-shelf LiDAR-based SLAM methods suffer from significant…
QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs
Pengyu Wang, Zhaohua Yang, Nachuan Yang +7
Safety-critical intelligent cyber-physical systems, such as quadrotor unmanned aerial vehicles (UAVs), are vulnerable to different types of cyber attacks, and the absence of timely…
MINER-RRT*: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments
Pengyu Wang, Jiawei Tang, Hin Wang Lin +5
Trajectory planning for quadrotors in cluttered environments has been challenging in recent years. While many trajectory planning frameworks have been successful, there still exist…
Quadrotor Autonomous Landing on Moving Platform
Pengyu Wang, Chaoqun Wang, Jiankun Wang +1
This paper introduces a quadrotor's autonomous take-off and landing system on a moving platform. The designed system addresses three challenging problems: fast pose estimation, res…