Ali Unluturk
Papers
5
Total Citations
77
H-Index
4
About
Ali Unluturk is a robotics and control systems researcher whose work centers on mobile robot design, intelligent control algorithms, and adaptive machine learning techniques. He is best known for his pioneering contributions to two-wheeled self-balancing robots — a notoriously challenging class of underactuated systems — where he has consistently pushed the boundaries of real-time control under dynamic and unpredictable conditions. His most celebrated work, published in 2017 and accumulating 24 citations, introduced a novel artificial neural network–based switching dynamic controller capable of adapting to varying surface conditions, demonstrating both theoretical innovation and practical implementation. Building on this foundation, his 2022 study (19 citations) advanced the field further by developing an Adaptive Fuzzy Logic-PI controller to manage self-balancing and precision motion under variable payloads, leveraging modern machine learning techniques. His earlier 2013 contributions — including foundational PID-controlled balance robot design (18 citations) and a remotely operated bomb disposal robot (14 citations) — established him as a versatile robotics engineer with a strong applied focus. Across his career, Unluturk has demonstrated a commitment to bridging theoretical control design with real-world robotic deployment, making his research particularly valuable for students and engineers working at the intersection of intelligent systems and autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 3Design and PID control of two wheeled autonomous balance robot18 citations · 2013
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