5 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…