Seung-Han Yang
Papers
7
Total Citations
61
H-Index
4
About
Seung-Han Yang is a leading researcher in precision robotics and manufacturing automation, with a career spanning over two decades. His primary research areas include CNC interpolation, robot calibration, and path planning for autonomous systems. Yang’s most influential work, "Fast and precision NURBS interpolator for CNC systems" (2012), with 20 citations, addresses critical challenges in high-speed machining by improving surface quality and reducing contour errors. He is also recognized for pioneering applications of the rapidly-exploring random tree (RRT) algorithm in unknown environments (2007, 18 citations), advancing mobile robot navigation in complex spaces. In recent years, Yang has focused on cost-effective calibration techniques for collaborative and industrial robots, notably introducing a single wire encoder method for spherical joints (2022, 8 citations) and collaborative robot arms (2023, 6 citations). His earlier contributions include error compensation for gantry robots and laser-vision systems (2005, 4 citations), as well as dynamic and kinematic analysis of 6-bar parallel robots (2013, 3 citations). Through these innovations, Yang has significantly enhanced robot accuracy, efficiency, and affordability, making a lasting impact on both industrial automation and academic research.
Research Focus
Key Achievements
Top Papers
- 1Fast and precision NURBS interpolator for CNC systems20 citations · 2012
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- 6Dynamic and kinematic analysis of 6-bar parallel robot3 citations · 2013
- 7