Papers
9
Total Citations
412
H-Index
7
About
Iluminada Baturone is a prominent researcher specializing in fuzzy logic control systems, embedded hardware design, and autonomous robotics. Her work has significantly advanced the practical implementation of intelligent control systems, particularly through bridging the gap between fuzzy logic theory and real-world hardware deployment on FPGAs and DSPs. Baturone's most influential contributions include her pioneering work on FPGA-based fuzzy controllers for robotic applications (140 citations) and the automatic design of fuzzy control systems for autonomous vehicles (117 citations), where she tackled challenging problems such as autonomous parking in constrained environments. Her research on DSP-based fuzzy controllers (77 citations) further demonstrated her commitment to making intelligent control systems practically accessible across diverse embedded platforms. A notable thread throughout her career is the development of the Xfuzzy design environment, a comprehensive Java-based toolchain that automates the entire fuzzy system design process, streamlining workflows from linguistic model description through to hardware implementation. Her later integration of neuro-fuzzy techniques (2014) reflects her ability to evolve with emerging computational paradigms. Affiliated with the Instituto de Microelectrónica de Sevilla, Baturone has built a cohesive body of work that meaningfully shapes how researchers and engineers approach intelligent embedded control in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1FPGA Implementation of Embedded Fuzzy Controllers for Robotic Applications140 citations · 2007
- 2Automatic Design of Fuzzy Controllers for Car-Like Autonomous Robots117 citations · 2004
- 3Design of Embedded DSP-Based Fuzzy Controllers for Autonomous Mobile Robots77 citations · 2008
- 4Using Xfuzzy Environment for the Whole Design of Fuzzy Systems30 citations · 2007
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- 7Embedded fuzzy controllers on standard DSPs8 citations · 2005
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- 9Automatic design of fuzzy control systems for autonomous mobile robots3 citations · 2003