Papers
2
Total Citations
17
H-Index
2
About
Olha Miliutina is a researcher in robotics and embedded systems, with a focus on computer vision and autonomous navigation for mobile and humanoid robots. Her most-cited work, "Object Recognition for a Humanoid Robot Based on a Microcontroller" (2022, 13 citations), addresses the challenge of implementing real-time object recognition on a small-scale humanoid platform using an ESP32-Cam microcontroller module. This contribution is notable for demonstrating that effective computer vision can be achieved on low-cost, resource-constrained hardware, making robotic perception more accessible. In her 2023 paper on "Mobile Robot Navigation System Based on Ultrasonic Sensors" (4 citations), she develops a navigation system using two HC-SR04 ultrasonic sensors and presents experimental results that validate the system’s performance. Miliutina’s work bridges practical engineering and robotics, emphasizing efficient, sensor-driven solutions for autonomous movement and object identification. Her research is particularly relevant for students and engineers interested in low-cost robotics, embedded AI, and sensor integration, showcasing how microcontroller-based systems can enable intelligent behavior in small robots.
Research Focus
Key Achievements
Top Papers
- 1Object Recognition for a Humanoid Robot Based on a Microcontroller13 citations · 2022
- 2Mobile Robot Navigation System Based on Ultrasonic Sensors4 citations · 2023