Papers
21
Total Citations
412
H-Index
10
About
Jin-Woo Jung is a leading researcher in robotics, specializing in path planning, assistive technologies, and human-robot interaction. His most impactful work centers on enhancing the efficiency and optimality of sampling-based algorithms, particularly the Rapidly-Exploring Random Tree (RRT) method. Jung’s major contributions include the “Improved RRT-Connect Algorithm Based on Triangular Inequality” (119 citations), which introduces a rewiring technique to reduce path length while preserving planning speed, and the “Expanded Douglas–Peucker Polygonal Approximation” (32 citations), enabling precise navigation around curvilinear obstacles. He also pioneered the “Intelligent Sweet Home” project at KAIST, an advanced robotic residence for the elderly and disabled (99 and 31 citations), integrating motion assistance and health monitoring into a smart living environment. With over 350 total citations, Jung’s work bridges theoretical algorithm design and real-world application, notably in assistive robotics and autonomous navigation. His recent innovations, such as bidirectional interpolation and midpoint interpolation post-processing methods, further refine path optimality, making him a key figure in advancing practical, human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotic smart house to assist people with movement disabilities99 citations · 2006
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- 9Post Triangular Rewiring Method for Shorter RRT Robot Path Planning10 citations · 2021
- 10Water Sink Model for Robot Motion Planning10 citations · 2019