Hak-Jin Kim
Papers
3
Total Citations
37
H-Index
3
About
Hak-Jin Kim is a leading figure in agricultural robotics and autonomous navigation systems. His research focuses on developing high-precision positioning algorithms and robust navigation solutions for agricultural mobile robots (AMRs) and orchard robots, addressing critical challenges in complex, unstructured environments. Kim’s major contributions include a novel position estimation algorithm that fuses multisensor data with an autoencoder neural network, significantly improving AMR accuracy even when GNSS signals degrade—work that has garnered 21 citations since 2022. He also pioneered an autonomous in-row navigation system for orchard robots using a 2D LIDAR scanner and particle filter with a laser-beam model, enabling safe, unattended operation in labor-intensive mountainous orchards. Beyond agriculture, Kim contributes to autonomous racing competitions, fostering innovation in multivehicle autonomy. His work has accumulated over 37 citations across his most-cited papers, demonstrating growing impact. Kim’s achievements are notable for bridging advanced sensor fusion, machine learning, and real-world agricultural applications, offering practical solutions to enhance productivity and safety in farming.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3