Yiyang Su
Papers
1
Total Citations
12
H-Index
1
About
Yiyang Su is a robotics researcher specializing in autonomous navigation for unstructured environments, with a particular focus on agricultural applications. His work advances the integration of stable feature localization and multi-sensor obstacle detection, enabling robots to operate reliably in dynamic, non-uniform settings such as farms and fields. His most-cited paper, "Adaptive navigation for robots in unstructured agricultural environments using stable feature localization and multi-sensor obstacle detection" (2025), has already garnered 12 citations, reflecting its timely impact on the field. Su’s contributions address critical challenges in field robotics, including real-time adaptation to changing terrain and robust perception under variable lighting and weather conditions. By combining computer vision, sensor fusion, and adaptive control, he helps bridge the gap between laboratory prototypes and practical, deployable agricultural robots. His work is particularly relevant as the industry seeks to automate labor-intensive tasks like harvesting, weeding, and crop monitoring. Su’s research not only advances the state of the art in mobile robotics but also supports sustainable agriculture through increased efficiency and reduced reliance on manual labor.
Research Focus
Key Achievements
Top Papers
- 1