SangJoo Kwon
Papers
21
Total Citations
496
H-Index
10
About
SangJoo Kwon is a robotics and control systems researcher whose work spans mobile robotics, unmanned aerial vehicles, and humanoid systems. He is best known for his pioneering contributions to the control and dynamic modeling of two-wheeled inverted pendulum (TWIP) mobile robots, with his 2017 paper on nonlinear optimal control using the State-Dependent Riccati Equation (SDRE) framework earning over 150 citations and establishing him as a leading authority in this niche. His 2015 dynamic modeling companion work has garnered an additional 85 citations, reflecting sustained academic interest in his foundational treatment of TWIP platforms. Beyond balancing robots, Kwon made early contributions to quad-rotor UAV flight control, developing a robust internal-loop compensator approach for autonomous indoor navigation in emergency environments. His research also extends to mobile robot localization, humanoid center-of-mass estimation, kinesiology-inspired bipedal foot design, and variable stiffness actuators for safe manipulation. A recurring theme across his portfolio is the application of robust estimation techniques, particularly Kalman filtering under uncertainty. With a diverse yet coherent body of work accumulating over 400 citations, Kwon has meaningfully shaped modern research in intelligent autonomous robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dynamic modeling of a two-wheeled inverted pendulum balancing mobile robot85 citations · 2015
- 3
- 4Tilting-Type Balancing Mobile Robot Platform for Enhancing Lateral Stability41 citations · 2014
- 5An Effective Kalman Filter Localization Method for Mobile Robots33 citations · 2006
- 6Estimation of the center of mass of humanoid robot24 citations · 2007
- 7
- 8SDRE Based Nonlinear Optimal Control of a Two-Wheeled Balancing Robot13 citations · 2011
- 9
- 10Kinesiology-Based Robot Foot Design for Human-Like Walking10 citations · 2012