Tae-Jung Lho

Papers

Total Citations

H-Index

About

Tae-Jung Lho is a robotics researcher whose work centers on precision calibration and visual sensing systems for automated assembly. His most cited paper, "A Pyramidal Mirror System Calibration Method for Robotic Assembly" (2005, 7 citations), addresses a critical challenge in manufacturing: reducing systematic errors in multi-mirror visual sensing systems. Lho developed a self-calibration technique that enhances measurement accuracy by adjusting mirror positions, a contribution that supports reliable robotic assembly in complex environments. Though his citation count is modest, his focus on practical calibration methods reflects a dedication to solving real-world industrial problems. Lho’s research bridges the gap between theoretical optics and applied robotics, offering engineers a systematic approach to improving sensor precision. His work is particularly relevant for students and researchers interested in automation, metrology, and the integration of vision systems in manufacturing. By tackling the nuances of mirror-based sensing, Lho has contributed foundational insights that continue to inform advancements in robotic assembly and quality control.