5 papers
Deployable Vision-driven UAV River Navigation via Human-in-the-loop Preference Alignment
Zihan Wang, Jianwen Li, Li-Fan Wu +1
Rivers are critical corridors for environmental monitoring and disaster response, where Unmanned Aerial Vehicles (UAVs) guided by vision-driven policies can provide fast, low-cost…
C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles
Jianwen Li, Hyunsang Park, Wenjian Hao +10
In this paper, we discuss the development and deployment of a robust autonomous system capable of performing various tasks in the maritime domain under unknown dynamic conditions.…
Synergistic Reinforcement and Imitation Learning for Vision-driven Autonomous Flight of UAV Along River
Zihan Wang, Jianwen Li, Nina Mahmoudian
Vision-driven autonomous flight and obstacle avoidance of Unmanned Aerial Vehicles (UAVs) along complex riverine environments for tasks like rescue and surveillance requires a robu…
An Efficient Detection and Control System for Underwater Docking using Machine Learning and Realistic Simulation: A Comprehensive Approach
Jalil Chavez-Galaviz, Jianwen Li, Matthew Bergman +2
Underwater docking is critical to enable the persistent operation of Autonomous Underwater Vehicles (AUVs). For this, the AUV must be capable of detecting and localizing the dockin…
ASV Station Keeping under Wind Disturbances using Neural Network Simulation Error Minimization Model Predictive Control
Jalil Chavez-Galaviz, Jianwen Li, Ajinkya Chaudhary +1
Station keeping is an essential maneuver for Autonomous Surface Vehicles (ASVs), mainly when used in confined spaces, to carry out surveys that require the ASV to keep its position…