Papers
8
Total Citations
103
H-Index
5
About
Yiannis S. Boutalis is a researcher whose work spans intelligent control systems, fuzzy logic, robotics, and autonomous navigation. His research focuses particularly on the intersection of fuzzy discrete event systems (FDESs), neuro-fuzzy control, and mobile robotics, with a sustained interest in developing mathematically rigorous yet practically applicable control frameworks. Boutalis's most influential contribution, "Fuzzy Discrete Event Systems for Multiobjective Control" (2012, 45 citations), established a novel FDES framework for controlling sampled data systems with inherent uncertainty, demonstrating its power through mobile robot navigation. This foundational work built upon earlier explorations of multi-objective decision-making using FDESs, reflecting a consistent research trajectory dating back to 2009. His adaptive neuro-fuzzy controller for robot manipulator trajectory tracking (2011, 24 citations) further demonstrated his ability to translate theoretical models into robust engineering solutions. More recently, Boutalis has expanded into visual place recognition for mobile robotics, conveyor system modeling, and IoT-integrated motor parameter estimation using swarm intelligence algorithms, reflecting his adaptability to emerging Industry 4.0 paradigms. While his citation counts are modest, his work represents meaningful contributions to intelligent autonomous systems and control engineering, offering students and researchers valuable methodologies for handling real-world uncertainty in complex dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 7Mobile Robot Navigation based on Fuzzy Discrete Event Systems4 citations · 2009
- 8Selected Applications3 citations · 2014