Chen-Han Lee
Papers
4
Total Citations
119
H-Index
4
About
Chen-Han Lee is a leading researcher in industrial robotics, specializing in robot calibration, path smoothing, and precision motion control. His work addresses critical challenges in manufacturing automation, particularly for SCARA and industrial robotic arms. Lee's most impactful contribution is his 2018 paper on kinematic parameter calibration using multiple location constraints, which has garnered 53 citations and provides a foundational method for accuracy assessment in industrial settings. He further advanced the field with a tolerance-constrained G² continuous path smoothing and interpolation method (2019, 35 citations), enabling smoother, vibration-free robot motion. In his 2023 work (22 citations), Lee proposed a novel error compensation method combining improved Kriging interpolation with Kronecker products, offering a stable, high-accuracy, model-free calibration approach for unopened robotic systems—a significant practical advancement. His research on circular interpolation for SCARA robots (2020) also addresses vibration reduction through local corner transitions and spline interpolation. With a clear focus on bridging theoretical precision with real-world industrial constraints, Lee's work is essential reading for researchers and engineers working on robot accuracy, calibration, and path planning in manufacturing.
Research Focus
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