Sun Guoqi
Papers
1
Total Citations
3
H-Index
1
About
Sun Guoqi is a researcher advancing the field of agricultural robotics, with a primary focus on computer vision and 3D reconstruction for automated fruit harvesting. His key research areas include 3D imaging, object recognition, and robotic manipulation in complex outdoor environments. In his most cited work, "3D Reconstruction of Camellia Oleifera Fruit Recognition and Fruit Branch based on Kinect Camera" (2021), Sun tackled the challenge of designing a 3D vision system for a camellia fruit picking robot. He developed methods to identify and reconstruct mature camellia fruit within the camera’s field of view, addressing critical obstacles like occlusion and variable lighting in natural settings. This contribution is foundational for enabling robots to operate reliably outdoors, with the paper garnering 3 citations as a starting point for further innovation. Sun’s research directly supports the goal of automating the harvesting of Camellia oleifera, a valuable oil crop, thereby reducing labor costs and improving efficiency. His work represents a meaningful step toward practical agricultural robotics, blending sensor technology with algorithmic precision to solve real-world farming challenges.
Research Focus
Key Achievements
Top Papers
- 1