Papers
9
Total Citations
515
H-Index
7
About
Dr. Marta Mejail is a leading figure in robotics and computer vision, renowned for her pioneering work in multirobot localization and autonomous navigation. Her major contributions center on developing efficient, low-cost, and robust localization systems that enable robots to operate reliably in complex, mixed indoor/outdoor environments. She is best known for creating the widely adopted WhyCon marker-based localization system, an open-source solution praised for its high computational efficiency and suitability for aerial and swarm robotics with limited resources. Her most cited work, "A Practical Multirobot Localization System" (210 citations), along with "Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications" (192 citations), underscores her impact on the field. Dr. Mejail has also advanced vision-based navigation, real-time path detection, and Monte Carlo localization for teach-and-repeat systems. Her early research applied thermographic imaging to detect buried objects, including landmines, as part of an Argentine national project. With a career spanning foundational algorithms to deployable systems, Dr. Mejail’s work continues to shape practical robotics, making her an essential reference for students and researchers in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A Practical Multirobot Localization System210 citations · 2014
- 2
- 3External localization system for mobile robotics33 citations · 2013
- 4
- 5Real-time monocular image-based path detection21 citations · 2013
- 6Monte Carlo Localization for Teach-and-Repeat Feature-Based Navigation17 citations · 2014
- 7WhyCon: an efficient, marker-based localization system10 citations · 2015
- 8Thermographic detection of buried objects3 citations · 2005
- 9