A5005377968- Maritime Navigation and Safety
- Robotic Path Planning Algorithms
- Underwater Vehicles and Communication Systems
- Augmented Reality Applications
- Transportation and Mobility Innovations
- Reinforcement Learning in Robotics
- Robotics and Sensor-Based Localization
- Robotics and Automated Systems
- Optimization and Search Problems
- Teleoperation and Haptic Systems
- Digital Transformation in Industry
- Advanced Manufacturing and Logistics Optimization
Xi’an Jiaotong-Liverpool University
2022-2024
University of Bristol
2023-2024
Path-keeping requires unmanned surface vehicles (USVs) to follow a planned path in autonomous navigation. It is essential for USVs carry out tasks such as collecting various data of water quality and surrounding terrain exploration protection environments. However, due obstacle avoidance other factors wind, waves, dynamics USVs, usually deviate from the original during This paper proposes novel path-keeping algorithm based on artificial potential field method (PK-APF) USVs. To minimize...
Unmanned Surface Vehicles (USVs) are increasingly applied to marine operations such as environmental monitoring. It faces a notable challenge in achieving precise autonomous docking at ports and stations still depending on remote human control for accuracy safety. To unlock the full potential of fully unmanned maritime deployment, it is pivotal achieve visual servoing re-dock USV. This study introduces novel monocular camera-based self-supervised learning pipeline docking. Through careful...
This paper presents AlignBot, a novel framework designed to optimize VLM-powered customized task planning for household robots by effectively aligning with user reminders. In domestic settings, reminders poses significant challenges due the limited quantity, diversity, and multimodal nature of To address these challenges, AlignBot employs fine-tuned LLaVA-7B model, functioning as an adapter GPT-4o. model internalizes diverse forms reminders-such personalized preferences, corrective guidance,...
Autonomous path planning along riverbanks is crucial for unmanned surface vehicles (USVs) to execute specific tasks such as levee safety detection and underwater pipe inspections, which are vital riverbank water environment protection. Given the intricate shapes of riverbanks, dynamic nature tidal influences, constraints in real-time cartographic updates, there a heightened susceptibility inaccuracies during manual waypoint designation. These factors collectively impact efficiency USVs...