Febi Yanto

Universitas Islam Negeri Sultan Syarif Kasim Riau

Papers

Total Citations

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About

Febi Yanto is a researcher in mobile robotics, specializing in line-following navigation and maze-solving algorithms. His work addresses critical limitations in conventional line maze solving, which traditionally assumes only right-angle intersections and turns. Yanto’s major contribution is the development of an improved algorithm capable of handling curved tracks, zig-zag paths, and acute-angle turns—challenges that arise in real-world environments. His most cited paper, “Improved Line Maze Solving Algorithm for Curved and Zig-zag Track” (2018), has garnered 7 citations and demonstrates how his method enables robots to navigate complex, non-orthogonal mazes with greater reliability. In earlier work, “Analisa dan Perbaikan Algoritma Line Maze Solving Untuk Jalur Loop, Lancip, dan Lengkung pada Robot Line Follower (LFR)” (2015), he analyzed and refined algorithms for loop, sharp, and curved paths using Arduino-based platforms. Though his citation counts are modest, Yanto’s contributions are notable for addressing a practical gap in autonomous navigation—extending classic algorithms to handle irregular track geometries. His research is particularly relevant for students and engineers working on low-cost line-following robots, offering tested solutions for more robust performance in non-ideal conditions.