Shue-Ching Chia
Papers
1
Total Citations
39
H-Index
1
About
Shue-Ching Chia has made significant contributions to the field of robotics and sensor calibration, with a particular focus on improving the precision and robustness of 3-D scanning systems. Her key research areas include robot-sensor calibration, coordinate system alignment, and noise-tolerant algorithms for automated manufacturing and inspection tasks. Chia’s most cited work, "A Noise-Tolerant Algorithm for Robot-Sensor Calibration Using a Planar Disk of Arbitrary 3-D Orientation" (2016, 39 citations), introduces an innovative method for deriving the transformation between a robotic arm and a laser sensor’s coordinate systems. This algorithm stands out for its ability to handle real-world noise and arbitrary planar disk orientations, significantly enhancing calibration accuracy in 3-D scanning applications. By addressing a critical bottleneck in robotic precision, her work has practical implications for industries relying on automated quality control and reverse engineering. Chia’s research demonstrates a clear impact, with her calibration technique offering a robust solution that reduces errors in sensor alignment, thereby advancing the reliability of robot-guided measurement systems. Her contributions continue to influence subsequent studies in sensor fusion and robotic automation.
Research Focus
Key Achievements
Top Papers
- 1