Fu-An Chang

Papers

Total Citations

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About

Fu-An Chang has made significant contributions to the field of robotics and visual servoing, with a particular focus on DSP-based control systems for robotic manipulators. His key research areas include uncalibrated visual servoing, real-time camera calibration, and the development of robust control strategies for multi-degree-of-freedom robots. In his most notable work, "DSP based uncalibrated visual servoing for a 3-DOF robot manipulator" (2016), Chang addressed critical limitations in classical image-based visual servo control—namely, image space singularities and local minima—by introducing a virtual composite camera approach. This innovation enables online camera calibration when the camera position changes, significantly enhancing system flexibility and reliability. While his citation count is modest, the technical depth and practical relevance of his work have established him as a thoughtful contributor to the robotics community. Chang’s research continues to inspire advancements in uncalibrated visual servoing, offering valuable insights for students and researchers working on real-time robotic control and vision-based automation.