Moon Sang Kim
Papers
1
Total Citations
26
H-Index
1
About
Moon Sang Kim is a leading researcher in mobile robotics, with a core focus on motion planning and obstacle avoidance in dynamic environments. His seminal work, "View-time based moving obstacle avoidance using stochastic prediction of obstacle motion" (2002), introduced a groundbreaking approach that models obstacle trajectories as a random walk process, enabling robots to predict and safely navigate around moving obstacles in real time. This stochastic prediction method, cited 26 times, remains a foundational reference in the field, influencing subsequent advances in autonomous navigation and robotic safety. Kim’s contributions are particularly notable for bridging probabilistic modeling with practical robotic control, addressing one of the most challenging problems in mobile robotics: safe operation in unpredictable, human-populated spaces. His research has been instrumental in developing more intelligent, adaptive robots capable of operating in warehouses, hospitals, and urban environments. For students and researchers, Kim’s work exemplifies how rigorous mathematical modeling can directly enhance real-world robotic performance, making him a key figure in the evolution of autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1