Sang-Soo Noh
Papers
1
Total Citations
3
H-Index
1
About
Sang-Soo Noh is a researcher in robotics and computer vision, with a focus on automated object manipulation and pose estimation. His work addresses the practical challenge of enabling robotic systems to interact with irregularly stacked objects in dynamic industrial environments. In his most cited paper, "Pose estimation of top object on stack of elliptical objects based on ellipse fitting and Kalman estimator" (2007), Noh developed an algorithm that selects and determines the pose of the top object from a pile of overlapping elliptical shapes on a moving conveyor belt. This contribution combines ellipse fitting for shape detection with a Kalman estimator for robust tracking, offering a solution for automated pick-and-place tasks. While his citation count is modest, the work demonstrates a targeted approach to a specific manufacturing problem, highlighting Noh’s ability to integrate geometric modeling with real-time estimation. His research is valuable for students and engineers interested in vision-guided robotics, particularly in applications involving non-rigid or partially occluded objects.
Research Focus
Key Achievements
Top Papers
- 1