Yinle Chen

Papers

Total Citations

H-Index

About

Yinle Chen’s research focuses on agricultural robotics, specifically the intelligent design and precision control of picking manipulators for biological fruits. His major contributions lie in developing a 5-degree-of-freedom litchi picking manipulator, where he improved mechanism design and manufacturing processes to enhance efficiency in fruit harvesting. Chen also advanced positioning systems for virtual manipulators by integrating binocular stereo vision with visual error compensation, achieving precise spatial positioning through virtual reality simulation. While his citation counts are modest—3 citations for his 2010 work on picking robot kinematics and 2 for his 2009 study on visual error compensation—these foundational papers address critical challenges in agricultural automation, such as delicate fruit handling and accurate manipulation in unstructured environments. Chen’s work is notable for its practical focus on bridging virtual simulation with real-world robotic applications, offering insights for researchers in precision agriculture and robotic design. His research contributes to the growing field of intelligent harvesting systems, highlighting the potential of vision-guided robotics to improve productivity in fruit cultivation.