Min-Jung Jung
Papers
1
Total Citations
2
H-Index
1
About
Min-Jung Jung is a roboticist whose work sits at the intersection of art, computation, and high-degree-of-freedom manipulation. Her primary research areas include robotic drawing systems, computational aesthetics, and dexterous manipulation. Her most notable contribution is the TSP-Bot system, which transforms colored raster images into intricate, multi-colored pen art using the Traveling Salesman Problem (TSP) framework. This work demonstrates how complex artistic tasks can be automated through careful integration of path planning and high-DoF manipulator control. Though early in its citation impact, the TSP-Bot paper (2024) has already garnered attention for its novel approach to robotic pen art, showcasing Jung’s ability to bridge creative expression with rigorous engineering. Her research pushes the boundaries of what robots can achieve in fine motor tasks, opening new possibilities for automated artistry and precision manufacturing. Jung’s work is particularly compelling for students and researchers interested in the convergence of robotics, optimization, and the arts, as it exemplifies how algorithmic thinking can enable machines to produce visually stunning, human-like creations.
Research Focus
Key Achievements
Top Papers
- 1TSP-Bot: Robotic TSP Pen Art Using High-DoF Manipulators2 citations · 2024