Ling Xiao
Papers
1
Total Citations
156
H-Index
1
About
Ling Xiao is a researcher specializing in agricultural robotics and computer vision, with a focus on automating complex harvesting tasks through intelligent robotic systems. Xiao's most notable contribution lies in the development of dual-arm robotic systems for autonomous crop harvesting, a challenging frontier that bridges precision agriculture with advanced robotics engineering. In a highly cited 2019 study, Xiao and colleagues tackled the intricate problem of tomato harvesting automation by designing a dual-arm cooperative robotic system guided by binocular vision — a sophisticated approach that mimics human depth perception to accurately locate and grasp fruit in complex, cluttered agricultural environments. This work, which has garnered 156 citations, represents a meaningful step forward in reducing the reliance on manual labor in agriculture, a pressing global challenge. By integrating stereo vision with coordinated robotic arm movement, Xiao's research demonstrates both technical innovation and real-world applicability, making it a valuable reference for engineers and scientists working at the intersection of robotics, machine vision, and smart farming technologies.
Research Focus
Key Achievements
Top Papers
- 1