Changwhan Kim
Papers
1
Total Citations
38
H-Index
1
About
Changwhan Kim has made significant contributions to the field of robotics and control systems, with a primary focus on nonlinear model predictive control (MPC) and autonomous navigation. His most-cited work, "Nonlinear Model Predictive Controller Design with Obstacle Avoidance for a Mobile Robot" (2008), presents a pioneering approach that integrates collision avoidance directly into the receding horizon control framework for differential-wheeled mobile robots. This practical scheme optimizes tracking performance while ensuring safe navigation in dynamic environments, laying groundwork for real-time autonomous systems. With 38 citations, the paper demonstrates enduring relevance in robotics research. Kim’s work bridges theoretical control design and hardware implementation, addressing critical challenges in motion planning and obstacle avoidance. His contributions are particularly valuable for students and researchers exploring MPC applications in mobile robotics, offering a clear methodology for balancing computational efficiency with safety constraints. Through this research, Kim has advanced the practical deployment of intelligent robotic systems capable of operating in cluttered, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1