Papers
14
Total Citations
1,162
H-Index
12
About
Guichao Lin is a leading researcher in agricultural robotics and computer vision, whose work is revolutionizing automated fruit harvesting. His primary research focuses on developing intelligent perception systems that enable robots to detect, localize, and pick fruit in complex, unstructured outdoor environments. Lin’s major contributions include pioneering the use of RGB-D sensors for 3D fruit detection, as evidenced by his highly cited paper "Color-, depth-, and shape-based 3D fruit detection" (172 citations), and advancing collision-free path planning for harvesting robots through recurrent deep reinforcement learning (151 citations). He has tackled the challenging problem of detecting fruit-bearing branches and localizing litchi clusters (138 citations), and developed methods for guava detection and pose estimation that are critical for collision-free picking (158 citations). His work on fruit detection using partial shape matching (146 citations) and in-field citrus detection (112 citations) further demonstrates his broad impact. With over 1,100 total citations across his top ten papers, Lin’s research is essential reading for anyone interested in precision agriculture, robotic harvesting, and the application of deep learning to real-world perception problems.
Research Focus
Key Achievements
Top Papers
- 1Color-, depth-, and shape-based 3D fruit detection172 citations · 2019
- 2Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field158 citations · 2019
- 3
- 4
- 5
- 6In-field citrus detection and localisation based on RGB-D image analysis112 citations · 2019
- 7
- 8
- 9
- 10