Kyung Woon Kwak
Papers
2
Total Citations
9
H-Index
2
About
Kyung Woon Kwak has made notable contributions to the field of mobile robotics, with a primary focus on real-time obstacle avoidance and local path planning. His key research areas center on developing intelligent navigation algorithms that allow autonomous robots to safely maneuver through dynamic, cluttered indoor environments. Kwak’s most significant contribution is the creation of the Virtual Tangential Vector (VTV) algorithm, a novel approach that generates real-time paths by driving a robot along the tangential direction of virtually generated circular obstacles. This method, refined in his 2013 work on the weighted virtual tangential vector algorithm, enhances robot responsiveness when faced with multiple obstacles. His foundational 2008 paper demonstrated the VTV’s effectiveness using a 2D laser measurement system (LMS) for obstacle detection. While his most-cited paper has accumulated 7 citations, the true impact of Kwak’s work lies in its practical application for autonomous navigation, offering a computationally efficient solution that balances path smoothness with collision avoidance. His research provides a valuable foundation for students and engineers seeking to understand real-time robotic motion planning in constrained spaces.
Research Focus
Key Achievements
Top Papers
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