Eui-Hwang Jung
Papers
1
Total Citations
3
H-Index
1
About
Eui-Hwang Jung is a researcher focused on advancing autonomous navigation and collision avoidance for logistics transportation robots, particularly in warehouse and freight-moving environments. His work addresses critical challenges in multi-robot systems, where efficient coordination and path planning are essential for high-throughput logistics operations. Jung’s most cited paper, “A Study on Improved Navigation Algorithm of Logistics Transportation Robot for Freight Moving on the Rack” (2018), proposes a weighted priority-based collision avoidance algorithm combined with SLAM-based navigation to enhance the performance of multiple robots operating in shared spaces. By improving upon the standard D* Lite algorithm—which treats other robots as dynamic obstacles and recalculates paths individually—Jung’s approach enables more efficient, cooperative navigation, reducing unnecessary rerouting and increasing overall system throughput. Though his citation count is modest (3 citations for this key work), his contributions are notable for addressing a practical, industry-relevant problem: enabling faster and more reliable freight movement in logistics centers. Jung’s research sits at the intersection of robotics, artificial intelligence, and industrial automation, offering valuable insights for students and engineers developing autonomous material handling systems.
Research Focus
Key Achievements
Top Papers
- 1