Seung-Yun Baek
Papers
1
Total Citations
5
H-Index
1
About
Seung-Yun Baek is a rising researcher in agricultural robotics and electric vehicle systems, with a focus on precision control for off-road machinery. His most-cited work, “Real-time axle-torque prediction of agricultural electric tractors using a Kalman-algorithm-integrated predictive motor-speed controller” (2025, 5 citations), introduces a novel method for estimating axle torque in real time, combining Kalman filtering with predictive motor control to enhance the efficiency and reliability of electric tractors. This contribution addresses a critical challenge in agricultural automation—accurate torque prediction under variable field conditions—enabling smoother operation and reduced energy consumption. Baek’s research bridges control theory and practical farm machinery, offering scalable solutions for sustainable agriculture. Though early in his career, his work has already garnered attention for its innovative integration of sensor fusion and model predictive control, laying groundwork for autonomous electric tractors. His achievements highlight a commitment to advancing electric powertrain intelligence, with potential impacts on precision farming and off-road vehicle electrification. Baek’s trajectory suggests a promising future in agricultural robotics and smart vehicle systems.
Research Focus
Key Achievements
Top Papers
- 1