Tisna Yanu Iskanto

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About

Dr. Tisna Yanu Iskanto is a robotics researcher whose work centers on intelligent navigation and control systems for autonomous mobile robots. His primary research areas include fuzzy logic control, obstacle avoidance algorithms, and wheeled mobile robot design. His most-cited paper, "Mamdani based Fuzzy Logic Controller for A Wheeled Mobile Robot with Obstacle Avoidance Capability" (2019), has garnered 9 citations and presents a foundational approach to enabling robots to navigate dynamic environments safely. In this work, Dr. Iskanto developed a Mamdani-type fuzzy inference system that processes sensor inputs to guide a robot’s motion, allowing it to detect and circumvent obstacles in real time. This contribution is significant for advancing low-cost, computationally efficient navigation solutions suitable for educational and prototyping platforms. By integrating fuzzy logic with mobile robotics, Dr. Iskanto has helped bridge the gap between theoretical control methods and practical implementation. His research continues to influence students and engineers working on autonomous systems, particularly in developing countries where accessible robotics technology is critical for innovation and education.