Daehan Jung
Papers
1
Total Citations
48
H-Index
1
About
Daehan Jung is a leading researcher in robotics and autonomous navigation, with a primary focus on path planning and motion control for non-holonomic systems. His most impactful contribution is the development of a continuous curvature path-smoothing algorithm using cubic Bézier spiral curves, published in 2013 and cited 48 times. This work addresses a critical challenge in robotics: generating smooth, feasible trajectories from piecewise linear paths. Jung proposed three innovative algorithms—including an interactive method—that enhance path-smoothing performance while respecting curvature bounds, enabling robots to navigate more efficiently and safely. His research bridges theoretical geometry and practical robotics, with applications in autonomous vehicles, mobile robots, and industrial automation. By solving the problem of discontinuous curvature at path junctions, Jung's work has influenced subsequent studies in trajectory optimization and motion planning. His contributions are particularly valuable for students and engineers seeking to understand how smooth, continuous paths improve robot maneuverability and reduce mechanical wear. With a strong foundation in algorithmic design and real-world implementation, Daehan Jung continues to shape the field of autonomous navigation.
Research Focus
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Top Papers
- 1