Wen-Chiang Wu

Florida Atlantic University, Texas Tech University

Papers

Total Citations

H-Index

About

Wen-Chiang Wu is a researcher whose work centers on the intersection of computer vision and robotics, with a particular focus on camera calibration and robotic arm precision. His major contributions address critical practical challenges in these fields. In his highly cited 1996 paper, "Camera calibration with a near-parallel (ill-posed) calibration board configuration" (24 citations), Wu identified and solved a fundamental failure mode in Tsai's classic radial alignment constraint method—specifically, the singularity that occurs when the camera plane is nearly parallel to the calibration board. This work provided a robust, singular-free solution for a common real-world scenario. Extending this expertise to robotics, his paper "Camera assisted calibration of SCARA arms" (11 citations) applied advanced calibration techniques to improve the accuracy of SCARA manipulators. By adapting Lenz and Tsai's approach and offering practical recommendations for robot users, Wu demonstrated how precise camera calibration directly enhances robotic performance. His research remains a valuable reference for engineers and researchers working on vision-guided robotics and metrology.