Zhi-Tong Yan
Papers
1
Total Citations
2
H-Index
1
About
Zhi-Tong Yan is a researcher at the forefront of robotics and computer vision, with a particular focus on transparent object manipulation. His most cited work, "Robotic Arm Combined with the Visual Images in a Transparent Object Recognition" (2020), addresses a notoriously difficult challenge in automation: enabling robots to reliably detect and handle transparent objects, which often confound standard vision systems. By integrating a robot-mounted camera with LabView, Yan developed a coordinate transformation method that allows a robotic arm to recognize and perform pick-and-place operations on transparent bottles. This work, which has garnered 2 citations, demonstrates a practical solution for industrial and service robotics where visual ambiguity is a barrier. Yan’s contributions are significant for advancing robotic perception in real-world settings, bridging the gap between visual input and precise mechanical action. His research holds promise for applications in manufacturing, logistics, and assistive technologies, making him a notable figure in the evolving field of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1