Yun-Ha Jung

Papers

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About

Yun-Ha Jung’s research focuses on autonomous navigation and control algorithms for mobile robots operating in dynamic environments. In their most-cited work, “Development of a Navigation Control Algorithm for Mobile Robots Using D*” (2010), Jung introduced a novel hybrid control system that integrates the D* algorithm with fuzzy logic for collision risk assessment and behavioral decision-making. This approach enables real-time global and local path planning, allowing robots to safely navigate around both static and moving obstacles. The algorithm was validated through simulations using Python and robot kinematic models, demonstrating robust obstacle avoidance capabilities. While the paper has garnered 3 citations, its contribution lies in combining established pathfinding techniques with adaptive fuzzy control—a practical solution for real-world robotic navigation challenges. Jung’s work is particularly relevant for researchers developing autonomous systems for warehouses, service robots, or autonomous vehicles, where dynamic obstacle avoidance is critical. Their methodology offers a computationally efficient framework that balances global route optimization with local reactive behaviors, laying groundwork for further advances in intelligent robotic mobility.