Max Robotics — Global Service Robot Directory + US Certification

About

Andreja Kitanov is a leading researcher in mobile robotics, specializing in autonomous navigation, self-localization, and sensor fusion. Her work addresses the fundamental challenge of enabling robots to determine their position and orientation in complex, real-world environments using minimal and often noisy sensory data. Kitanov’s most impactful contribution is a seminal 2007 paper on mobile robot self-localization in complex indoor settings using only monocular vision and a 3D model, which has garnered 33 citations. This work pioneered techniques for building detailed environmental models and performing real-time image segmentation under noisy conditions. She further advanced the field by developing methods to extend RF Ultrasound positioning systems with dead-reckoning to accurately determine a robot’s orientation, and by creating model-based Kalman Filter approaches to mitigate the inherent position error growth in proprioceptive navigation. Her research on Exactly Sparse Delayed State Filters for robust SLAM with stereo vision demonstrates her commitment to solving data association challenges in simultaneous localization and mapping. Through these contributions, Kitanov has established herself as a key figure in practical, vision-based robot localization.