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About

Yevhen Poliakov is a robotics researcher specializing in autonomous navigation and sensor-based landmark detection for mobile robots. His work focuses on enabling robots to operate reliably in GPS-denied outdoor environments by leveraging camera-based and radar sensing systems. Poliakov’s major contributions include developing methods to increase landmark detection probability through analysis of color parameter distributions in camera images, as well as techniques for identifying landmarks by detecting abrupt changes in echo signal parameters from radar systems. His research on azimuth estimation using a single scanning antenna provides practical solutions for robot orientation without satellite positioning. Among his most cited works, “Detection of Landmarks by Autonomous Mobile Robots Using Camera-Based Sensors in Outdoor Environments” (2020) has garnered 11 citations, demonstrating growing interest in his approach. Poliakov’s work bridges computer vision and radar signal processing, offering robust alternatives for robot localization in challenging conditions. His publications reflect a systematic effort to improve the reliability and autonomy of mobile robots operating beyond controlled indoor settings, making his research valuable for field robotics applications in agriculture, search-and-rescue, and environmental monitoring.