Yelnur Tuieubayev
Papers
1
Total Citations
6
H-Index
1
About
Yelnur Tuieubayev is a robotics researcher specializing in intelligent inspection systems for critical infrastructure, with a primary focus on in-pipe mobile robots and AI-driven defect detection. His most cited work, "Design and Development of an In-Pipe Mobile Robot for Pipeline Inspection with AI Defect Detection System" (2023), addresses a pressing global need: preventing catastrophic failures in pipeline networks that serve as the economic lifeblood of modern nations. By integrating mechanical design with artificial intelligence, Tuieubayev’s research enables autonomous, real-time identification of structural flaws, reducing reliance on costly and hazardous manual inspections. His contributions are particularly impactful in the context of aging infrastructure, where timely maintenance can avert environmental disasters and economic losses. With 6 citations to date, this work has already garnered attention from peers in robotics and civil engineering. Tuieubayev’s achievements underscore a commitment to practical, deployable solutions that bridge robotics and AI, offering a scalable approach to pipeline safety. His research not only advances the field of mobile robotics but also provides a tangible pathway toward smarter, safer infrastructure management—a critical priority for engineers and policymakers worldwide.
Research Focus
Key Achievements
Top Papers
- 1