R. Refalda

Papers

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About

R. Refalda is a robotics researcher whose work centers on intelligent control systems for autonomous mobile robots, with a particular focus on obstacle avoidance. Their most-cited paper, "The Mobile Robot Control in Obstacle Avoidance Using Fuzzy Logic Controller" (2020), has garnered 36 citations, demonstrating its influence in the field. In this study, Refalda addresses one of the most challenging problems in mobile robotics—navigating dynamic environments without collisions—by designing an automated obstacle avoidance system based on fuzzy logic control (FLC). Using MATLAB, they developed a controller that enables robots to interpret sensor data and make real-time navigational decisions, mimicking human reasoning. This contribution is notable for its practical approach to enhancing robot autonomy in unstructured settings, offering a scalable solution for applications ranging from warehouse logistics to search-and-rescue operations. Refalda’s work bridges theoretical control methods with real-world implementation, providing a foundation for further advances in intelligent robotics. Their research continues to inspire students and engineers seeking to improve robot adaptability and safety in complex environments.