Quan Sun

Papers

Total Citations

H-Index

About

Quan Sun’s research focuses on agricultural robotics, specifically the intelligent design and precision control of picking manipulators for biological fruits like litchi. His major contributions lie in advancing the kinematics and mechanism design of harvesting robots, integrating virtual reality and binocular stereo vision systems to enhance positioning accuracy. Notably, Sun developed a 5-degree-of-freedom litchi picking manipulator, iterating on its mechanical structure to improve efficiency in fruit harvesting. His work on visual error compensation for virtual manipulators achieved precise spatial positioning through simulated environments, bridging the gap between theoretical design and practical deployment. While his most-cited papers—such as “Intelligent Design and Kinematics Analysis of Picking Robot Manipulator” (3 citations) and “Research of Positioning System for Virtual Manipulator Based on Visual Error Compensation” (2 citations)—reflect a niche but impactful focus, they underscore his role in pioneering automation solutions for agriculture. Sun’s research addresses critical challenges in non-destructive fruit picking, offering foundational insights for robotic systems that could reduce labor dependency and improve yield quality. His achievements highlight a dedication to merging mechanical engineering with computer vision, positioning him as a contributor to the evolving field of agricultural robotics.