Youge Su
Papers
1
Total Citations
3
H-Index
1
About
Youge Su is a researcher specializing in autonomous robotics and intelligent perception systems, with a particular focus on mining applications. His work centers on the integration of stereo vision and path planning to enhance the autonomy of industrial robots in complex, unstructured environments. Su’s most-cited paper, "Design of the Autonomous Path Planning System for Mining Robots Based on Stereo Vision" (2021), has garnered 3 citations, laying foundational groundwork for safer and more efficient robotic navigation in hazardous mining sites. This contribution addresses critical challenges in real-time obstacle detection and route optimization, leveraging dual-camera systems to improve spatial awareness. While his citation count is modest, the practical implications of his research—reducing human risk and operational costs in mining—underscore its significance. Su’s work bridges computer vision and robotics, offering a scalable framework for autonomous systems in heavy industry. As a researcher, he demonstrates a commitment to solving real-world problems through applied engineering, making his contributions valuable for students and professionals exploring the intersection of perception, control, and field robotics.
Research Focus
Key Achievements
Top Papers
- 1