Esdras S. da Silva
Papers
2
Total Citations
32
H-Index
2
About
Esdras S. da Silva is a researcher advancing the field of autonomous mobile navigation through innovative applications of computational intelligence. His primary research areas center on fuzzy logic systems, particularly Fuzzy Cognitive Maps (FCM) and Fuzzy Logic Controllers (FLC), which he applies to create intelligent, knowledge-based navigation systems for mobile robots. His most significant contribution is the development of Hybrid Dynamic Fuzzy Cognitive Maps (HD-FCM), a novel variant of classical FCM that models complex decision-making and inference tasks in dynamic environments. In his highly cited 2016 work (28 citations), da Silva designed and compared two navigation systems—one using HD-FCM and another based on hierarchical FLC—demonstrating how hybrid approaches can enhance autonomous navigation performance. His earlier 2015 paper (4 citations) laid the groundwork by introducing the HD-FCM concept for knowledge-based navigation. Through these contributions, da Silva has shown how fuzzy cognitive models can evolve to handle real-time, uncertain navigation scenarios, offering a bridge between human-like reasoning and robotic autonomy. His work is particularly valuable for researchers in robotics, artificial intelligence, and control systems seeking biologically inspired solutions for autonomous agents.
Research Focus
Key Achievements
Top Papers
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