Kuu-Young Young
Papers
1
Total Citations
9
H-Index
1
About
Kuu-Young Young is a robotics researcher whose work has made meaningful contributions to the field of robot calibration and automation. His most recognized contribution, the development of an automated robot calibration system based on a variable Denavit-Hartenberg (D-H) parameter model, addressed a fundamental limitation in conventional calibration approaches. Traditional calibration schemes relied on constant error parameters, which restricted their effectiveness to specific regions of a robot's workspace — a problem known as locality. Young's innovative variable D-H parameter model sought to overcome this constraint, enabling more globally accurate and adaptable calibration across the full robot workspace. Published in 2002 and accumulating 9 citations, this work represents a practical step forward in improving robot precision and reliability for real-world applications. His research sits at the intersection of robot kinematics, error modeling, and automation systems — areas critical to advancing industrial robotics and manufacturing accuracy. For students and researchers exploring robot calibration methodologies, Young's contributions offer a valuable perspective on how adaptive parameter modeling can enhance the spatial consistency and performance of robotic systems beyond what static calibration models allow.
Research Focus
Key Achievements
Top Papers
- 1