Ismu Rijal Fahmi

Papers

Total Citations

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About

Ismu Rijal Fahmi is an emerging researcher in educational robotics and autonomous navigation, with a focus on making complex control systems accessible to students. His most cited work, "A Simulation-Based Study of Maze-Solving-Robot Navigation for Educational Purposes" (2021), demonstrates his commitment to bridging theory and practice by developing an open-source Python simulation that simplifies indoor navigation and control algorithms. This approach allows learners to grasp fundamental robotics principles through engaging, hands-on experimentation rather than abstract theory. Though his citation count is still growing—with 3 citations for this paper—his contribution lies in lowering the barrier to entry for robotics education, providing a replicable, low-cost tool for classrooms and self-learners. Fahmi’s work exemplifies how simulation-based learning can demystify maze-solving and path planning, making robotics more approachable for beginners. As he continues to publish, his emphasis on accessible, code-driven education positions him as a valuable resource for students and educators seeking practical entry points into autonomous systems.