Yumeng Huang
Papers
1
Total Citations
1
H-Index
1
About
Yumeng Huang is a researcher at the forefront of intelligent robotics and advanced manufacturing, with a primary focus on multiobjective optimization for robotic trajectory planning. Their most-cited work, "Multiobjective optimization-based trajectory planning for laser 3D scanner robots" (2024), introduces a novel framework that balances competing objectives—such as scanning accuracy, energy efficiency, and time constraints—to enhance the performance of laser-based 3D scanning systems. This contribution addresses critical challenges in automated quality inspection and reverse engineering, enabling robots to generate precise, high-fidelity 3D models with optimized motion paths. While their citation count is still growing, the work has already attracted attention for its practical implications in industrial automation. Huang’s research bridges the gap between theoretical optimization algorithms and real-world robotic applications, offering scalable solutions for complex manufacturing environments. Their achievements highlight a promising trajectory in robotics, where efficiency and precision converge to redefine the capabilities of autonomous scanning systems.
Research Focus
Key Achievements
Top Papers
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