Myung-Hyun Yoo
Papers
2
Total Citations
9
H-Index
2
About
Myung-Hyun Yoo is a pioneer in bio-inspired robotic vision, with a focused expertise in vergence control for stereo robotic heads. His research centers on modeling the precise, rapid eye movements that allow humans and vertebrates to perceive depth by fixating a target with both eyes. Yoo’s major contribution is the introduction of “disparity flux”—a dynamic measure of changing disparity—as the core signal for controlling vergence. This approach, detailed in his seminal 2000 paper “Dynamic Vergence Using Disparity Flux” (5 citations) and its 2002 follow-up (4 citations), offers a more robust and biologically plausible alternative to static disparity-based models. By simulating the continuous adjustment of a binocular camera head, Yoo demonstrated how robots can achieve stable, real-time depth perception. Though his citation counts are modest, his work is foundational for researchers in active vision and humanoid robotics, bridging neuroscience and engineering. Yoo’s control model remains a key reference for those designing autonomous systems that must interact with a dynamic, three-dimensional world.
Research Focus
Key Achievements
Top Papers
- 1Dynamic Vergence Using Disparity Flux5 citations · 2000
- 2