Carlos R.S.

Papers

Total Citations

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About

Carlos R.S. is a researcher whose work lies at the intersection of computational intelligence and robotics, with a particular focus on fuzzy logic systems for autonomous navigation. His key research areas include Type-1 and Interval Type-2 Fuzzy Logic Systems (T1FLS and IT2FLS), applied primarily to obstacle avoidance in mobile robots. His most cited paper, "Different Types of Fuzzy Logic in Obstacles Avoidance of Mobile Robot" (2018, 6 citations), provides a foundational comparison of these two fuzzy logic approaches, simulating their performance across varied environments, start-target configurations, and obstacle densities. This work systematically analyzes how each system handles uncertainty and decision-making in real-time navigation, offering practical insights for designing more adaptive and robust robotic controllers. While his citation count is modest, his contribution is significant for researchers exploring fuzzy logic-based control strategies in robotics, particularly those seeking to understand the trade-offs between simpler Type-1 systems and more complex Interval Type-2 systems. Carlos’s research serves as a stepping stone for advancing autonomous robot behavior in cluttered, unpredictable settings.