Papers
3
Total Citations
14
H-Index
3
About
Pei-Li Kuo is a robotics researcher whose work focuses on real-time obstacle avoidance for nonholonomic mobile robots operating under curvature constraints. His key contributions lie in developing biologically-inspired, hydrodynamic-based navigation systems that generate smooth, natural-looking paths through partially unknown environments. Kuo’s most influential work, “A real-time streamline-based obstacle avoidance system for curvature-constrained nonholonomic mobile robots” (2017, 6 citations), introduces a novel approach using three primitive curvature-constrained collision-avoidance maneuvers derived from fluid streamlines. This method enables robots to safely navigate around static cylinder-shaped obstacles detected on-line. Expanding on this foundation, his 2018 paper (4 citations) harnesses harmonic potential fields from incompressible nonviscous fluid dynamics governed by Laplace’s Equation, producing predictable and elegant paths. Kuo also validated these concepts through simulation studies (2017, 4 citations), employing log-space harmonic potential functions to solve boundary value problems. While his citation counts reflect a specialized niche, his work represents an important bridge between classical fluid dynamics and modern autonomous navigation, offering computationally efficient solutions for real-world robotic systems.
Research Focus
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