Jindong Zhang
Papers
1
Total Citations
2
H-Index
1
About
Jindong Zhang is a researcher focused on robotics and computer vision, with a particular emphasis on practical automation solutions for the automotive industry. His work centers on developing perception technologies that enable robots to interact with and manipulate real-world objects, as demonstrated in his most-cited paper, "Research on Vision Perception Technology of Auto Fueling Robot on opencv-based gas tank cap recognition" (2021, 2 citations). In this study, Zhang explored a novel recognition algorithm for automatic vehicle refueling, using binocular image differences to identify fuel tank caps and guide a robotic arm for precise, autonomous refueling. While his citation count is modest, his contribution lies in bridging computer vision and robotics to address a tangible, everyday challenge—streamlining the refueling process through intelligent automation. Zhang’s work highlights the potential of integrating OpenCV-based techniques with robotic manipulation, offering a glimpse into future smart service stations. As a researcher, he exemplifies the application of vision perception technology to enhance efficiency and safety in industrial and consumer contexts, making his research a valuable reference for those interested in robotics, automation, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1