Egor Zamotaev
Papers
1
Total Citations
4
H-Index
1
About
Egor Zamotaev is a robotics educator and researcher whose work centers on making control theory and computer vision accessible through hands-on, project-based learning. His most-cited paper, "Lego Mindstorms EV3 for teaching the basics of trajectory control problems" (2018, 4 citations), exemplifies his commitment to bridging theory and practice. In this Research to Practice Paper, Zamotaev demonstrates how affordable, widely available platforms like Lego Mindstorms can be used to teach undergraduate students the foundational skills needed for designing modern control systems—covering trajectory planning, sensor integration, and real-time feedback. By grounding abstract concepts in tangible, real-life projects, his approach empowers students to grasp complex engineering principles while developing practical problem-solving abilities. Though his citation count is modest, Zamotaev’s impact is pedagogical: he provides a replicable, low-cost framework that educators can adopt to inspire the next generation of roboticists. His work highlights the value of experiential learning in STEM, proving that even simple tools can unlock sophisticated understanding when paired with thoughtful curriculum design.
Research Focus
Key Achievements
Top Papers
- 1