Xingguang Chen
Papers
1
Total Citations
56
H-Index
1
About
Xingguang Chen is a leading researcher in agricultural robotics, specializing in the design of intelligent end-effectors and grasping mechanisms for delicate fruit harvesting. His most impactful work focuses on developing flexible, humanoid grippers that enable rapid, stable, and damage-free picking of small spherical fruits, such as cherry tomatoes. By engineering a two-stage “Holding-Rotating” picking strategy, Chen has addressed a critical bottleneck in agricultural automation: the need for both speed and gentleness to reduce post-harvest grading operations. His 2023 paper on this topic has already garnered 56 citations, reflecting its immediate influence on the field. Chen’s contributions are pivotal for advancing the dexterity and reliability of picking robots, directly supporting the shift toward fully autonomous, non-destructive harvesting systems. His work stands at the intersection of soft robotics and precision agriculture, offering practical solutions that enhance both yield quality and operational efficiency.
Research Focus
Key Achievements
Top Papers
- 1