Shanqi Tang
Papers
1
Total Citations
25
H-Index
1
About
Shanqi Tang is a leading researcher in agricultural robotics, with a primary focus on the mechanized harvesting of specialty crops, particularly fruit clusters like grapes. His work addresses a critical bottleneck in agricultural automation: the high-speed, non-destructive picking of delicate produce. Tang’s major contribution is the development of advanced virtual simulation models that predict the complex dynamics of fruit clusters during robotic harvesting. His most cited paper, “Virtual Model of Grip-and-Cut Picking for Simulation of Vibration and Falling of Grape Clusters” (2019, 25 citations), pioneered a method to simulate the severe cluster vibration and fruit detachment that occurs during rapid robotic gripping and cutting. This foundational work provides a virtual testbed for optimizing control algorithms, enabling engineers to minimize fruit loss before building physical prototypes. By bridging the gap between theoretical mechanics and practical robotic design, Tang’s research directly enhances the efficiency and gentleness of automated harvesting systems, reducing waste and labor dependency in viticulture. His simulations are now a key reference for researchers aiming to improve the speed and reliability of fruit-picking robots.
Research Focus
Key Achievements
Top Papers
- 1