Papers
2
Total Citations
10
H-Index
2
About
Chung-Hsun Wang is a robotics researcher whose work focuses on real-time obstacle avoidance for non-holonomic mobile robots operating under curvature constraints. His primary contributions lie in developing biologically-inspired and physics-based navigation systems that enable autonomous vehicles to safely traverse partially unknown environments. Wang's most notable work, "A real-time streamline-based obstacle avoidance system for curvature-constrained nonholonomic mobile robots" (2017, 6 citations), introduces a novel strategy using streamline patterns to guide robots around static cylindrical obstacles detected online. Building on this foundation, his 2018 paper "A Real-Time Hydrodynamic-Based Obstacle Avoidance System" (4 citations) leverages harmonic potential fields from incompressible fluid dynamics—governed by Laplace's Equation—to generate smooth, predictable, and natural-looking paths. This hydrodynamic approach offers significant advantages for autonomous unmanned vehicles by producing collision-free trajectories that mimic fluid flow around obstacles. Wang's research bridges theoretical fluid dynamics with practical robotics, providing elegant solutions for real-time navigation in cluttered environments. His work represents an important step toward more capable autonomous systems that can navigate safely and efficiently in dynamic, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2