Tae-Jung Roh
Papers
1
Total Citations
4
H-Index
1
About
Tae-Jung Roh is a researcher specializing in autonomous mobile robotics, with a particular focus on high-speed precision control and path-following in dynamic environments. His most-cited work, "Moving Path following and High Speed Precision Control of Autonomous Mobile Robot Using Fuzzy" (2004, 4 citations), addresses a critical challenge in robotics: maintaining safe and accurate trajectory tracking when robots operate at high speeds, where dynamic constraints like slippage and rollover become significant. Roh’s key contribution lies in integrating fuzzy logic to adaptively adjust reference speeds, enabling robots to navigate unknown environments without pre-existing maps while avoiding instability. This approach enhances both safety and performance, bridging the gap between theoretical path generation and real-world control under physical limitations. Though his citation count is modest, Roh’s work is notable for its practical focus on overcoming dynamic constraints in autonomous systems—a foundational concern in robotics. His research offers valuable insights for students and engineers working on high-speed mobile robots, particularly in applications requiring robust control in uncertain terrains.
Research Focus
Key Achievements
Top Papers
- 1