Zoja Raud
Papers
5
Total Citations
22
H-Index
3
About
Zoja Raud is a forward-thinking researcher at the intersection of robotics, energy efficiency, and engineering education. Her primary research areas include intelligent robotic control, power electronics for robotics, and innovative pedagogical methods for Industry 4.0 and 5.0. Raud’s most impactful contribution is her work on minimizing power consumption in industrial robots, particularly through neural network models for linear Delta robots used in pick-and-place operations—a critical need for sustainable manufacturing. Her 2023 paper on intelligent control for minimal power consumption has garnered 9 citations, while her 2024 study on neural network-based energy management has received 6, reflecting growing interest in her practical, data-driven solutions. Raud has also authored a comprehensive 2025 review of power electronic converters in robotics, serving as a key resource for designers aiming to extend robot operational times. Beyond technical research, she is dedicated to advancing engineering education, developing active blended learning frameworks for the EuroTeQ Engineering University alliance. Her work on active learning for diverse student backgrounds, published in 2022, addresses the evolving demands of Industry 4.0. Raud’s dual focus on cutting-edge robotics and inclusive education makes her a distinctive voice in preparing engineers for a sustainable, automated future.
Research Focus
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Top Papers
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