B. Yogameena
Papers
1
Total Citations
21
H-Index
1
About
B. Yogameena is a distinguished researcher in computer vision and robotics, with a primary focus on vision-based pose estimation and robotic assembly. Her most-cited work, "Vision Based Pose Estimation of Multiple Peg-in-Hole for Robotic Assembly" (2017), has garnered 21 citations, showcasing her contributions to precision automation. This research addresses critical challenges in industrial robotics by developing algorithms that enable accurate detection and alignment of components during assembly tasks, enhancing efficiency and reliability in manufacturing processes. Yogameena's work bridges the gap between theoretical computer vision and practical robotic applications, offering solutions that reduce human error and increase throughput. Her achievements highlight a commitment to advancing automation technology, making her a notable figure in the field of intelligent robotics and machine vision.
Research Focus
Key Achievements
Top Papers
- 1Vision Based Pose Estimation of Multiple Peg-in-Hole for Robotic Assembly21 citations · 2017