Jintao Feng
Papers
1
Total Citations
16
H-Index
1
About
Jintao Feng is a researcher specializing in agricultural robotics and intelligent sensing, with a focus on soft robotics for fruit handling and quality assessment. His most-cited work, "Grasping perception and prediction model of kiwifruit firmness based on flexible sensing claw" (2023, 16 citations), introduces a novel approach to non-destructive fruit firmness prediction using a flexible sensing claw that integrates tactile perception with machine learning. This contribution addresses a critical challenge in post-harvest automation: enabling robots to assess fruit ripeness without damage. Feng’s research bridges soft robotics, sensor fusion, and agricultural engineering, offering practical solutions for precision agriculture. His work has been recognized for its potential to reduce food waste and improve harvesting efficiency, with the flexible sensing claw model serving as a foundation for future adaptive grippers in horticulture. By combining real-time grasping data with predictive algorithms, Feng advances the field of intelligent agricultural machinery, making him a notable figure in the development of soft, sensor-rich robotic systems for delicate crop handling.
Research Focus
Key Achievements
Top Papers
- 1