Kwang Hee Ko
Papers
5
Total Citations
110
H-Index
4
About
Dr. Kwang Hee Ko is a pioneering researcher whose work bridges the fields of robotics, computer vision, and advanced manufacturing. His most recognized contribution explores the intersection of human-robot interaction and psychology, as demonstrated by his highly cited study on "Types of humor that robots can play" (77 citations), which investigates how robotic systems can be designed to engage in socially intelligent behavior. In the domain of industrial automation, Dr. Ko has made transformative contributions to shipbuilding technology, developing an automated thermal forming system for curved plates that integrates scanning devices, computational heating algorithms, and a six-axis gantry robot—a system validated in real fabrication processes (18 citations). His technical expertise extends to geometric computing, where he devised a second-order method for ray/parametric surface intersection (9 citations), and to modern computer vision, where his work on learning-based essential matrix estimation addresses core challenges in visual localization for autonomous driving, robot navigation, and augmented reality (4 citations). Dr. Ko’s research also includes pioneering work on distributed, embedded systems for collaborative line heating, reflecting a sustained commitment to scalable, maintainable automation solutions. His diverse portfolio demonstrates a unique ability to advance both foundational algorithms and practical, industry-transforming technologies.
Research Focus
Key Achievements
Top Papers
- 1Types of humor that robots can play77 citations · 2016
- 2
- 3A second order geometric method for ray/parametric surface intersection9 citations · 2013
- 4Learning-based essential matrix estimation for visual localization4 citations · 2022
- 5