Papers
5
Total Citations
81
H-Index
3
About
Yunjeong Kim is a leading researcher in the field of autonomous mobile robotics, with a primary focus on time-optimal trajectory planning for differential-driven wheeled mobile robots (DWMRs). Her work bridges the gap between theoretical optimal control and practical robotic systems by incorporating realistic constraints such as motor dynamics, battery voltage, and armature current limits. Kim’s most influential contribution is her 2017 paper on time-optimal trajectory planning within a geometric corridor, which has garnered 55 citations for its novel approach to navigating environments with multiple static circular obstacles. She further advanced the field with her 2014 work on efficient two-corner trajectory planning (20 citations) and her foundational 2013 study on cornering trajectories under motor constraints. Beyond mobile robotics, Kim has also explored real-time embedded systems, designing a hand skeleton extraction accelerator for gesture recognition. Her work is distinguished by its rigorous integration of actuator dynamics into trajectory optimization, enabling safer and more efficient autonomous navigation in cluttered environments—a critical capability for applications in warehouse logistics, service robots, and autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Global Trajectory Planning Based on DWMR Dynamics in Circular C-space2 citations · 2019
- 5