Antonia Mihaylova
Papers
1
Total Citations
3
H-Index
1
About
Antonia Mihaylova is a robotics researcher whose work centers on autonomous navigation, sensor-based perception, and real-time obstacle detection for mobile robots. Her most-cited paper, “Real-Time Laser Obstacle Detection System for Autonomous Mobile Robot Navigation” (2019), introduces algorithms for segmenting 2D laser range finder data into distinct obstacles, followed by line fitting and corner extraction for polygonal objects. This contribution addresses a critical challenge in enabling robots to safely and efficiently traverse dynamic environments. With 3 citations, the work has informed subsequent studies in autonomous systems and sensor fusion. Mihaylova’s research bridges theoretical algorithm design and practical implementation, offering solutions that enhance robot autonomy in real-world settings. Her focus on laser-based perception and real-time processing underscores her commitment to advancing mobile robotics, particularly in applications requiring robust obstacle avoidance. For students and researchers exploring autonomous navigation, Mihaylova’s work provides foundational insights into sensor data interpretation and obstacle modeling, making her a notable contributor to the field of intelligent robotics.
Research Focus
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Top Papers
- 1