Arafat Febriandirza

Papers

Total Citations

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About

Arafat Febriandirza is a researcher whose work lies at the intersection of robotics, control systems, and artificial intelligence, with a particular focus on improving localization algorithms for autonomous robots. His most cited paper, "The use of Fuzzy Logic Controller and Artificial Bee Colony for optimizing adaptive SVSF in robot localization algorithm" (2024, 3 citations), introduces a novel hybrid approach that combines a Fuzzy Logic Controller with the Artificial Bee Colony optimization algorithm to enhance the performance of the Smooth Variable Structure Filter (SVSF) in feature-based robot localization. This work addresses the critical challenge of estimating a robot’s path relative to a given map, a problem central to robust navigation in uncertain environments. By optimizing the SVSF’s adaptive parameters, Febriandirza’s method improves estimation accuracy and resilience, offering a significant contribution to the field of mobile robotics. Though early in his citation impact, his innovative integration of bio-inspired optimization and fuzzy logic signals a promising trajectory. His research is particularly valuable for students and engineers working on autonomous systems, sensor fusion, and adaptive filtering, demonstrating how computational intelligence can solve real-world robotic challenges.