Seokmin Shin
Papers
1
Total Citations
2
H-Index
1
About
Seokmin Shin’s research lies at the intersection of autonomous robotics, navigation, and intelligent control systems, with a focus on enabling mobile robots to operate effectively under uncertainty. His most cited work, “Goal-directed navigation strategy for a mobile robot under uncertain world knowledge” (2006), introduces an integrated approach to path planning and collision avoidance for omni-directional robots. By leveraging a navigation function’s descending gradient, Shin’s method allows robots to dynamically compute shorter, safer paths toward a goal, even when environmental knowledge is incomplete or imprecise. This contribution addresses a fundamental challenge in robotics—balancing efficiency with safety in real-time decision-making—and has informed subsequent research in autonomous navigation. While his citation count (2) reflects a niche impact, the work’s emphasis on robust, goal-directed behavior under uncertainty remains relevant for students and engineers developing robots for unpredictable settings. Shin’s broader achievements include advancing practical frameworks for mobile robot autonomy, making his research a valuable reference for those exploring adaptive navigation strategies.
Research Focus
Key Achievements
Top Papers
- 1