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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…
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
Pengyu Wang, Jialu Li, Ling Shi
With the increasing prevalence of autonomous vehicles (AVs), their vulnerability to various types of attacks has grown, presenting significant security challenges. In this paper, w…
Learning-based Detection of GPS Spoofing Attack for Quadrotors
Pengyu Wang, Zhaohua Yang, Jialu Li +1
Safety-critical cyber-physical systems (CPS), such as quadrotor UAVs, are particularly prone to cyber attacks, which can result in significant consequences if not detected promptly…
Coastal Underwater Evidence Search System with Surface-Underwater Collaboration
Hin Wang Lin, Pengyu Wang, Zhaohua Yang +5
The Coastal underwater evidence search system with surface-underwater collaboration is designed to revolutionize the search for artificial objects in coastal underwater environment…
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…