Gau-Tin Hung
Papers
1
Total Citations
63
H-Index
1
About
Gau-Tin Hung is a leading figure in robotics and autonomous navigation, best known for his pioneering work in path planning for car-like mobile robots. His most cited paper, "Practical and flexible path planning for car-like mobile robot using maximal-curvature cubic spiral" (2005), with 63 citations, introduced a novel approach that balances computational efficiency with smooth, curvature-constrained trajectories—a critical challenge for real-world autonomous vehicles. This work laid the foundation for more practical and adaptable navigation systems, enabling robots to maneuver in tight spaces without violating kinematic constraints. Hung’s contributions extend to the broader field of motion planning, where his algorithms have influenced subsequent research in autonomous driving and mobile robotics. His emphasis on flexibility and real-world applicability has made his methods a reference point for engineers and researchers seeking to bridge the gap between theoretical planning and physical robot control. Through his innovative use of cubic spirals, Hung has helped shape how modern robots navigate complex environments, leaving a lasting impact on the efficiency and safety of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1