Papers
30
Total Citations
169
H-Index
7
About
S.V. Ulyanov’s research spans the frontiers of soft computing, quantum intelligent control, and biomechatronics, with a focus on creating robust, self-organizing systems for autonomous robots. His major contributions include pioneering soft computing algorithms for intelligent control of mobile robots and robotic unicycles, integrating fuzzy logic, genetic algorithms, and neural networks to handle unstructured environments. Notably, his 1998 work on a robotic unicycle introduced a new physical measure for mechanical controllability, earning 26 citations. Ulyanov also advanced quantum computing by developing fast algorithm operators for superposition, entanglement, and interference, as seen in his 2019 paper (17 citations). His innovative fusion of quantum genetic algorithms with knowledge base self-organization (2021, 7 citations) and Kansei engineering for human-in-the-loop control (2013, 6 citations) demonstrates a unique interdisciplinary approach. With over 100 cumulative citations, his research on emotion and instinct control in robotics (2002, 8 citations) and physically informed neural networks (2022, 6 citations) highlights his lasting impact on intelligent autonomous systems design.
Research Focus
Key Achievements
Top Papers
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- 3Intelligent fuzzy motion control of mobile robot for service use14 citations · 2002
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- 5Fuzzy intelligent emotion and instinct control of a robotic unicycle8 citations · 2002
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