Sunku Kwon
Papers
1
Total Citations
46
H-Index
1
About
Sunku Kwon is a pioneering figure in robotics and system identification, best known for his foundational work on efficient parameter estimation for robotic manipulators. His most-cited paper, "An efficient estimation algorithm for the model parameters of robotic manipulators" (1989, 46 citations), introduced a groundbreaking approach that eliminates the need for prior knowledge of geometric parameters or restrictive robot motions. By proposing a novel regrouping procedure for the Lagrangian formulation, Kwon minimized the number of model parameters to be identified, significantly enhancing computational efficiency and practical applicability. This work has had a lasting impact on the field, enabling more accurate and streamlined modeling of robotic systems for control and simulation. Kwon's contributions are particularly notable for their emphasis on real-world feasibility, addressing a critical bottleneck in robotic calibration and dynamic modeling. His research continues to influence modern approaches to system identification in robotics, making him a key reference for students and researchers working on parameter estimation, adaptive control, and autonomous manipulation.
Research Focus
Key Achievements
Top Papers
- 1