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About

Nataliia Demska is a robotics researcher whose work focuses on the practical integration of computer vision, autonomous navigation, and mechanical design for mobile robotic platforms. Her most cited paper (13 citations) tackles object recognition for humanoid robots using a low-cost ESP32-Cam microcontroller, demonstrating how embedded systems can enable real-time visual identification on small-scale robots. She has also made contributions to swarm robotics in the context of Industry 4.0, exploring group management strategies for mobile robotic platforms in Warehousing 4.0 environments. Her work on navigation systems—such as a mobile robot guided by ultrasonic sensors—and on lightweight manipulator design using generative methods to reduce mass while preserving structural strength, highlights a consistent focus on practical, resource-efficient robotics. Though her citation counts are still building, her research addresses key challenges in making robots more autonomous, cost-effective, and mechanically optimized for real-world tasks. Demska’s work is particularly relevant for students and engineers interested in embedded vision, multi-robot coordination, and design optimization for mobile manipulation.