Branka Lakic
Papers
1
Total Citations
8
H-Index
1
About
Branka Lakic is a researcher whose work sits at the intersection of robotics, computer vision, and automated quality assurance. Her primary research focus is on developing intelligent systems for visual failure detection, with a particular emphasis on the subtle, high-precision tasks that define modern manufacturing and assembly. Lakic’s major contribution lies in addressing the challenge of viewpoint selection: she has pioneered methods to determine the optimal camera positions and angles needed to capture the often minuscule visual differences between success and failure in robotic operations—such as distinguishing a screw tip merely near a hole from one fully inserted. Her most-cited paper, “Viewpoint selection for visual failure detection” (2017, 8 citations), establishes a foundational framework for this problem, demonstrating that a single viewpoint is often insufficient and that multi-view information is critical for robust verification. This work has direct implications for improving the reliability of automated assembly lines and reducing defect rates. By bridging the gap between perception and precision manipulation, Lakic’s research provides a key building block for the next generation of autonomous manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Viewpoint selection for visual failure detection8 citations · 2017