You Jung Kang
Papers
1
Total Citations
2
H-Index
1
About
You Jung Kang’s research focuses on robotics and autonomous navigation, with a particular emphasis on path planning and optimization strategies. Her most-cited work, “Robot rolling path planning with the optimization target of expected direction angle” (2008), introduces a novel approach that integrates predictive control principles with rolling planning—a method that combines global and local planning to enhance real-time decision-making. By using the direction angle in polar coordinates as the optimization target, Kang’s framework improves the robot’s ability to navigate dynamic environments more efficiently. This contribution addresses a key limitation in traditional path planning, offering a feedback-driven strategy that balances long-term goals with immediate obstacles. While her citation count is modest, her work demonstrates a thoughtful synthesis of control theory and robotics, providing a foundation for further exploration in autonomous systems. Kang’s research is particularly relevant for students and engineers interested in advancing mobile robot intelligence, where adaptive, real-time planning remains a critical challenge.
Research Focus
Key Achievements
Top Papers
- 1