Papers
3
Total Citations
32
H-Index
3
About
Seokyoung Han is a robotics researcher specializing in surgical robotics and novel robotic structures, with a focus on wire-driven mechanisms and tensegrity systems. His major contributions include developing kinematic models and real-time path generation algorithms for wire-driven surgical robot arms with articulated joint structures, as demonstrated in his most-cited work (25 citations). This research enables precise control for single-port surgery, addressing challenges in minimally invasive procedures. Han also explores iterative learning control for trajectory tracking in tensegrity robots, a bio-inspired design suited for irregular environments, though this work has garnered fewer citations (4). His later research on gain optimization for kinematic control of wire-driven surgical robots with layered joint structures (3 citations) further advances actuation velocity bounds, enhancing surgical precision. Han’s work bridges theoretical kinematics with practical robotic applications, contributing to the development of flexible, snake-like robots for medical and field robotics. His achievements highlight a commitment to improving robotic dexterity and control in constrained environments, making his research valuable for students and engineers in surgical robotics and novel robot design.
Research Focus
Key Achievements
Top Papers
- 1
- 2Iterative learning control for trajectory tracking of tensegrity robot4 citations · 2014
- 3