Shih-Hsing Liu
Papers
1
Total Citations
5
H-Index
1
About
Shih-Hsing Liu is a leading researcher in autonomous systems, with a primary focus on artificial intelligence-driven navigation for surface vehicles and robotic platforms. His work bridges the gap between theoretical AI and practical deployment, particularly in maritime and terrestrial environments. Liu's most notable contribution is his leadership of Team NCTU in the prestigious RobotX Challenge, where he developed integrated software and hardware systems for autonomous surface vehicles (ASVs). His 2019 paper, "Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX," with 5 citations, documents the evolution of these systems, addressing critical tasks like obstacle avoidance and docking that have long challenged the field. This work builds on prior RobotX efforts from 2014 and 2016, advancing the state of the art in real-world autonomous navigation. Liu's research has significant implications for transportation, military, and oceanographic applications, demonstrating how AI-driven approaches can enhance the reliability and autonomy of surface vehicles. His achievements highlight a commitment to translating complex AI concepts into functional robotic systems, making him a key figure in the advancement of autonomous vehicle technology.
Research Focus
Key Achievements
Top Papers
- 1