Jae-Hyuk Kawk
Papers
1
Total Citations
7
H-Index
1
About
Jae-Hyuk Kawk is a researcher in robotics and multi-agent systems, with a focus on cooperative localization and formation control. His most cited work, "Multiple robot formation keeping and cooperative localization by panoramic view" (2009, 7 citations), introduces an innovative method for enabling multiple robots to maintain formation and estimate their positions using a single panoramic camera. By leveraging a 360-degree horizontal field of view, Kawk’s approach allows robots to detect each other’s locations in panoramic images and compute relative distances through triangulation, eliminating the need for complex external sensors. This contribution is significant for its simplicity and efficiency in swarm robotics, offering a cost-effective solution for tasks like search-and-rescue or environmental monitoring. While his citation count is modest, the work demonstrates foundational thinking in cooperative robotics, emphasizing practical, sensor-driven strategies. Kawk’s research bridges computer vision and multi-robot coordination, providing a stepping stone for future studies in autonomous systems. His approach remains relevant for researchers exploring low-cost, scalable robotic teams.
Research Focus
Key Achievements
Top Papers
- 1