Jia-Jun Xiao

National Taipei University of Technology

Papers

Total Citations

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About

Jia-Jun Xiao is a researcher specializing in precision measurement, robotics, and optical metrology, with a particular focus on advancing non-contact sensing techniques for dynamic systems. His most cited work, "Stereo digital image correlation (3D-DIC) for non-contact measurement and refinement of delta robot arm displacement and jerk" (2024), introduces a novel application of 3D-DIC to capture high-speed, high-accuracy displacement and jerk data in robotic arms—a critical contribution for improving motion control and reducing mechanical wear in industrial automation. Although early in its citation trajectory, this paper has already garnered attention for its innovative fusion of stereo vision and correlation algorithms, offering a cost-effective alternative to traditional accelerometers. Xiao’s broader research integrates digital image correlation with robotics, enabling real-time, non-invasive diagnostics that enhance precision in manufacturing and assembly. His work stands out for bridging optical measurement theory with practical robotic refinement, addressing challenges in jerk minimization that are vital for smoother, more reliable automation. As a rising voice in applied metrology, Xiao’s contributions promise to shape future developments in smart manufacturing and sensorless control systems.