Papers
2
Total Citations
17
H-Index
2
About
Dr. Jie Nan is a leading researcher in the field of industrial robotics, with a primary focus on precision calibration and error compensation for robotic machining. Their work addresses critical challenges in manufacturing automation, particularly the accuracy limitations that prevent robots from achieving the high precision required for milling and assembly tasks. Dr. Nan’s most cited paper, "A novel method to enhance the accuracy of parameter identification in elasto-geometrical calibration for industrial robots" (2024), has already garnered 13 citations, introducing a breakthrough approach that improves the identification of elastic and geometric parameters to significantly boost robot positioning accuracy. Building on this foundation, their recent work "Online compensation of contour errors in robotic milling based on multi-source characterization and path reconstruction" (2025) pioneers a real-time compensation strategy that integrates multi-source data to correct path deviations during machining. With a growing citation impact and a clear trajectory toward practical industrial applications, Dr. Nan is establishing themselves as an emerging authority in robotic precision engineering, bridging the gap between theoretical calibration models and real-time manufacturing solutions.
Research Focus
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Top Papers
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