Yung‐Jung Chang
Papers
1
Total Citations
10
H-Index
1
About
Yung-Jung Chang is a robotics and automation researcher whose work centers on robot-vision integration, system calibration, and human-robot interaction. His most recognized contribution lies in developing innovative calibration methodologies that bridge the spatial relationships between robotic manipulators, cameras, and workspaces — a fundamental challenge in deploying accurate and reliable robotic systems in real-world environments. His 2012 paper on eye-hand-workspace calibration introduced a practical approach using a laser pointer projection on planar surfaces, offering an elegant and accessible solution to a technically demanding problem in robot kinematics and computer vision. This work, which has accumulated citations within the robotics engineering community, reflects Chang's focus on creating methods that are both theoretically sound and practically implementable. By addressing the alignment between visual sensing and mechanical actuation, Chang's research contributes directly to advances in industrial automation, precision manufacturing, and intelligent robotic systems. His contributions are particularly valuable to researchers and engineers working to improve the accuracy and autonomy of robotic platforms operating in complex, vision-guided environments.
Research Focus
Key Achievements
Top Papers
- 1