Ava Chikurteva

Institute of Information and Communication Technologies, Bulgarian Academy of Sciences

Papers

Total Citations

H-Index

About

Ava Chikurteva’s research bridges the gap between autonomous robotics and precision agriculture, with a focus on sensor fusion and robotic systems for indoor environments. Her most cited work, “Mobile robot localization and navigation using LIDAR and indoor GPS” (2021, 17 citations), introduces a novel method for integrating LIDAR and GPS data to enhance localization accuracy in mobile robots operating in GPS-denied indoor spaces. This contribution addresses a critical challenge in robotics—reliable navigation without external signals—and has been foundational for subsequent studies in autonomous indoor mapping and logistics. Chikurteva also explores agricultural automation in her review “Technological Analysis of Types of Milking Systems and Robots: A Review” (2024, 4 citations), which systematically categorizes milking technologies and robotic systems, highlighting trends in dairy farm automation. Her work demonstrates a unique interdisciplinary approach, applying robotic localization techniques to improve efficiency in both industrial and agricultural settings. With growing citation impact, Chikurteva is establishing herself as a researcher who translates complex sensor integration problems into practical solutions for real-world automation challenges.