Daniyar Dauletiya
Papers
4
Total Citations
42
H-Index
3
About
Daniyar Dauletiya is a rising innovator at the intersection of robotics, artificial intelligence, and sustainable energy harvesting. His research focuses on developing intelligent autonomous systems for critical infrastructure and agriculture, with key contributions in in-pipe inspection robotics, self-powered sensors, and precision weeding. Dauletiya’s most cited work, “Smart Pipe Inspection Robot With In-Chassis Motor Actuation Design and Integrated AI-Powered Defect Detection System” (2024, 18 citations), introduces a novel robotic platform that combines mechanical design with deep learning for automated defect classification, addressing the high costs and human error of traditional manual inspection. He further advances the field of energy autonomy through “Incorporating MIL‐125 Metal‐Organic Framework for Flexible Triboelectric Nanogenerators and Self‐Powered Sensors for Robotic Grippers” (2024, 12 citations), demonstrating how MOF-enhanced TENGs can power sensors and grippers without external batteries. In sustainable agriculture, his work on “Development of Mobile Robot with Autonomous Mobile Robot Weeding and Weed Recognition by Using Computer Vision” (2023, 9 citations) showcases a field-deployed robot that reduces herbicide use through real-time weed detection. Dauletiya’s integrated approach—merging mechatronics, AI, and materials science—positions him as a key contributor to next-generation autonomous systems for real-world applications.
Research Focus
Key Achievements
Top Papers
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- 4Development of in-pipe defects detection and classification system3 citations · 2025