Tae-Youg Kuc
Papers
1
Total Citations
4
H-Index
1
About
Dr. Tae-Youg Kuc is a leading researcher in robotics and autonomous systems, with a core focus on sensor-based coverage algorithms and their application to public health and safety. His work is distinguished by the development of practical, real-world solutions for robotic disinfection, a field that has gained critical importance in the post-pandemic era. In his highly cited 2022 paper, Dr. Kuc introduced an innovative UV sensor coverage algorithm that leverages occupancy grid maps and place segmentation to enable disinfection robots to achieve complete, efficient sterilization of dynamic environments. By generating coverage nodes through coordinate averaging, his approach ensures thorough pathogen elimination while minimizing energy and time. This contribution has garnered significant attention, with 4 citations in a rapidly evolving field, underscoring its immediate relevance. Dr. Kuc’s research bridges the gap between theoretical path planning and deployable robotics, offering a scalable framework for autonomous sanitation in hospitals, public transit, and other high-risk spaces. His work exemplifies how intelligent sensor integration can transform robotic systems into essential tools for modern public health.
Research Focus
Key Achievements
Top Papers
- 1