Papers
3
Total Citations
55
H-Index
3
About
Heonyoung Lim is a robotics researcher whose work bridges control theory, autonomous navigation, and intelligent robotic systems. His key research areas include nonlinear model predictive control, obstacle avoidance for mobile robots, and embedded control architectures for industrial applications. Lim’s most influential contribution is his 2008 paper on "Nonlinear Model Predictive Controller Design with Obstacle Avoidance for a Mobile Robot," which has garnered 38 citations. This work presents a practical receding horizon control scheme that integrates collision avoidance into the cost function, enabling differential-wheeled mobile robots to navigate dynamically while minimizing tracking errors—a foundational approach for autonomous ground vehicles. He further advanced industrial robotics with his 2008 study on modularized control architectures for mobile welding robots in shipyard environments, demonstrating real-world deployment of embedded controllers. Lim also explored cognitive robotics in his 2009 work on knowledge-based control of humanoid robots, contributing to the integration of high-level reasoning with robotic platforms. His research has been instrumental in developing safer, more intelligent mobile robots for both industrial and service applications, with his citation record reflecting sustained relevance in the field of autonomous navigation and control.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Knowledge-based control of a humanoid robot8 citations · 2009