Papers
9
Total Citations
197
H-Index
5
About
Dae-Yeong Im is a robotics and autonomous systems researcher whose work spans intelligent control, mobile robotics, and agricultural automation. His research is primarily centered on the design of advanced control systems for autonomous vehicles and mobile robots, with a particular focus on fuzzy logic and PID-based controllers. His most influential contribution, "Design of Fuzzy-PID Controller for Path Tracking of Mobile Robot with Differential Drive" (2018), has garnered over 100 citations, establishing him as a notable voice in mobile robot control theory. This work introduced a hybrid fuzzy-PID framework that dynamically adjusts control parameters based on real-time error signals, significantly improving trajectory tracking performance. Building on this foundation, Im extended his research into kinematic controller design and omnidirectional robot steering, accumulating further recognition with dozens of additional citations. His 2022 paper on ROS-based unmanned agricultural robot platforms reflects a compelling pivot toward practical, real-world deployment, addressing critical societal challenges such as rural aging and labor shortages. Earlier in his career, Im pioneered magnetic marker-based position sensing systems for autonomous vehicles, demonstrating a long-standing commitment to bridging theoretical control design with applied robotic engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3ROS-Based Unmanned Mobile Robot Platform for Agriculture34 citations · 2022
- 4
- 5
- 6
- 7
- 8Unmanned Driving of Intelligent Robotic Vehicle2 citations · 2009
- 9Unmanned Driving of Robotic Vehicle Using Magnetic Maker2 citations · 2008