Alexandra Papadaki

Papers

Total Citations

H-Index

About

Alexandra Papadaki is a researcher at the forefront of industrial robotics and computer vision, with a specialized focus on 6D object localization and pose estimation for automated manufacturing. Her most-cited work, "6D Object Localization in Car-Assembly Industrial Environment" (2023), addresses a critical challenge in modern assembly lines: accurately detecting and positioning weakly textured, reflective, or symmetrical objects. By developing a visual detection and localization workflow integrated into a robotic platform, Papadaki enables precise 6D pose estimation under real-world industrial constraints—a key enabler for flexible, autonomous car assembly. Her contributions bridge the gap between laboratory-grade computer vision algorithms and the demanding conditions of factory floors, where lighting, surface properties, and object symmetries often confound standard methods. With 7 citations on this seminal paper, her work is gaining traction among researchers in manufacturing automation and robotic perception. Papadaki’s research not only advances the state of the art in object localization but also provides a practical, deployable solution for industry, making her a rising voice in applied computer vision and industrial robotics.