Papers
3
Total Citations
24
H-Index
3
About
Jiun-Hau Wei is a robotics researcher whose work centers on the critical challenge of autonomous navigation for nonholonomic mobile robots—vehicles that cannot move sideways, like cars or unicycles. His primary research area is the development of advanced, collision-free path planning algorithms that ensure smooth, drivable trajectories. Wei’s major contribution lies in pioneering the use of η³-splines (G³-continuous curves) to generate paths with continuous curvature, eliminating jerky steering commands. To solve this complex optimization problem, he innovatively applied evolutionary computation, specifically parallel and variable-length genetic algorithms, to simultaneously optimize path smoothness and length. His most cited work (2008, 11 citations) introduced a collision-free composite spline planner, while subsequent papers refined this approach by incorporating multi-objective optimization to minimize maximum curvature and path distance (2010, 6 citations). Collectively, his publications have garnered over 24 citations, establishing a foundation for smoother, more efficient robot motion in cluttered environments. Wei’s research is particularly notable for bridging the gap between theoretical spline mathematics and practical, evolutionary optimization, offering a robust framework for real-world autonomous vehicle navigation.
Research Focus
Key Achievements
Top Papers
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