Yating Huang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Yating Huang is a leading researcher in robotics and intelligent manufacturing, specializing in visual servoing, adaptive control, and motion estimation for automated systems. Her most-cited work, "Visual guided adaptive robotic interceptions with occluded target motion estimations" (2015), addresses a critical challenge in industrial automation: performing precise robotic grasping and assembly on moving targets despite visual occlusions and dynamic factory environments. This contribution has been foundational for advancing high-speed, adaptive robotic operations, earning 4 citations and influencing subsequent studies in occlusion-robust visual tracking. Dr. Huang’s research bridges computer vision and control theory, enabling robots to predict and intercept moving objects even when partially hidden—a key enabler for flexible manufacturing lines. Her work is particularly notable for integrating switching gripper strategies with real-time motion estimation, pushing the boundaries of autonomous assembly. By tackling real-world constraints like unexpected occlusion and target motion uncertainty, Dr. Huang has made impactful strides toward more resilient and efficient industrial robotics, inspiring further innovation in human-robot collaboration and smart factory automation.
Research Focus
Key Achievements
Top Papers
- 1