Alceu Bernardes Castanheira de Farias
Papers
1
Total Citations
12
H-Index
1
About
Alceu Bernardes Castanheira de Farias is a researcher whose work bridges the frontiers of control theory and robotics, with a particular focus on data-driven and behavior-based approaches for autonomous systems. His most-cited paper, "Data-Driven Control and Behavior-Based Control Applied to a SISO Mobile Robot" (2022), has garnered 12 citations and addresses a critical challenge in modern engineering: the difficulty of deriving accurate mathematical models for increasingly complex systems. By pioneering methodologies that bypass traditional modeling constraints, Farias has contributed to making control systems more robust and adaptable for real-world applications, particularly in mobile robotics. His research holds significant promise for advancing autonomous navigation and intelligent decision-making in uncertain environments. Farias’s work is notable for its practical orientation, aiming to equip robots with the ability to learn and react without relying on exhaustive prior knowledge—a key step toward more resilient and versatile autonomous technologies.
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Top Papers
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