Jong Eun Ha

Seoul National University of Science and Technology

Papers

Total Citations

H-Index

About

Jong Eun Ha has made focused contributions to the field of robotic vision and sensor calibration, with key research areas including hand/eye calibration, 3D correspondence methods, and visual sensing systems for industrial automation. His work addresses fundamental challenges in integrating sensors with robotic systems to enhance precision and adaptability in manufacturing environments. His most cited paper, "A Pyramidal Mirror System Calibration Method for Robotic Assembly" (2005, 7 citations), introduces a self-calibration technique for multi-mirror visual sensing systems, reducing systematic errors to improve measurement accuracy—a critical step for robotic assembly tasks. A later paper, "Hand/Eye Calibration Using 3D-3D Correspondences" (2013, 2 citations), tackles the essential problem of transforming sensor data into robot coordinates, enabling robots to operate beyond pre-taught positions by leveraging cameras and laser range finders. While his citation counts are modest, Ha's work represents foundational steps in practical calibration methods that support the broader adoption of sensor-guided robotics in industry. His research underscores the importance of precise calibration for expanding robotic capabilities, offering valuable insights for engineers and researchers working on automation and intelligent manufacturing systems.