Zhankai Meng
Papers
1
Total Citations
5
H-Index
1
About
Zhankai Meng is a researcher in mobile robotics and intelligent navigation systems, with a primary focus on integrating computer vision and control algorithms for autonomous platforms. His most cited work introduces the MGRO recognition algorithm—a sophisticated pipeline combining mean and Gaussian filters, Retinex enhancement, and Otsu threshold segmentation—to enable mobile robots to visually detect obstacles and plan navigation paths in real time. This contribution addresses a critical challenge in autonomous navigation: robust visual perception under varying environmental conditions. While his citation count is still growing, Meng’s work represents an early and important step toward practical, vision-based robotic navigation, particularly in unstructured or dynamic settings. His research sits at the intersection of image processing, artificial potential field methods, and path planning, offering a foundation for future advances in field robotics and autonomous systems. As a developing scholar, Meng’s contributions are most relevant to researchers seeking computationally efficient, sensor-driven navigation solutions for mobile robots operating in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1