Junho Jung

Papers

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About

Junho Jung is a leading researcher in mobile robotics, with a primary focus on intelligent path planning and autonomous navigation. His most cited work, "Local Path Planning of a Mobile Robot Using a Novel Grid-Based Potential Method" (2020), has garnered 24 citations and stands as a key contribution to the field. In this influential paper, Jung tackles the persistent challenge of local minima in potential field navigation by introducing a grid-based approach that is both sensor-realistic and computationally efficient. His method is specifically designed for real-world deployment, leveraging actual sensor data to enable robust, collision-free movement in dynamic environments. This practical orientation distinguishes his research, bridging the gap between theoretical algorithms and operational robotic systems. Jung’s work is essential reading for engineers and researchers developing autonomous ground vehicles, offering a scalable solution that improves both safety and reliability. By addressing fundamental limitations in classic path planning, he has helped advance the state of the art in mobile robot autonomy, making his contributions highly relevant to contemporary robotics and intelligent systems.