Papers
3
Total Citations
64
H-Index
3
About
Kyungbin Park is a leading researcher in the field of human motor control and rehabilitation robotics, with a primary focus on the stochastic estimation of human limb impedance. His work is foundational in understanding how the human body mechanically interacts with robotic systems, particularly in the context of assistive and rehabilitative devices. Park’s major contributions include the development and experimental validation of methods to estimate the dynamic properties of the human arm, shoulder, and wrist using robots with nonlinear frictions. His 2012 paper on stochastic estimation of human arm impedance, which has garnered 36 citations, demonstrated the practical implementation of internal model-based impedance control (IMBIC) on a SCARA robot, providing critical insights for designing more responsive and safe human-robot interfaces. Additionally, his 2016 study on *in vivo* estimation of forearm and wrist dynamic properties (23 citations) addressed a significant gap in motor control and stroke rehabilitation by enabling 3-DOF impedance measurement. Park’s work is notable for moving beyond simplified joint models, as seen in his 2011 study on shoulder impedance, paving the way for more realistic and clinically relevant assessments of neuromuscular disorders.
Research Focus
Key Achievements
Top Papers
- 1
- 2<i>In Vivo</i> Estimation of Human Forearm and Wrist Dynamic Properties23 citations · 2016
- 3