Ya-Jou Lan

About

Ya-Jou Lan is a leading researcher in autonomous systems, with a primary focus on artificial intelligence for autonomous surface vehicles (ASVs) and robotic navigation. Her most notable contribution is the development of integrated software and hardware systems that enable self-driving capabilities in aquatic environments, bridging the gap between land-based autonomous driving and marine robotics. As a key member of Team NCTU, Lan contributed to the landmark paper "Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX" (2019), which has garnered 5 citations and showcases her work in adapting AI-driving frameworks from small-scale platforms to real-world ASV challenges. Her research addresses critical tasks such as obstacle avoidance, docking, and autonomous navigation, building upon prior efforts in the RobotX Challenges. Lan's work is instrumental in advancing autonomous transportation and ocean research, demonstrating how AI-driven solutions can be transferred from controlled environments to complex, dynamic marine settings. Her achievements highlight her role in pushing the boundaries of autonomous systems, making her a notable figure in the field.

Research Focus

Key Achievements

Top Papers

1. 1
   Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX

   5 citations · 2019

Key Collaborators

Contact & Links