Yahya Muhammad Adam

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About

Yahya Muhammad Adam is a robotics and control systems researcher whose work focuses on intelligent autonomous navigation and obstacle avoidance for mobile robots. His key research areas include fuzzy logic control, mobile robotics, and simulation-based robot behavior design. His most cited work, “E-puck Mobile Robot Obstacles Avoidance Controller Using the Fuzzy Logic Approach” (2021, 5 citations), introduces a fuzzy logic-based controller that enables the E-puck robot to navigate static environments by dynamically finding free paths to targets while avoiding obstacles. Using the WEBOTS simulator, Adam demonstrated how fuzzy inference systems can effectively handle uncertainty in sensor data, providing a robust, rule-based alternative to traditional reactive navigation methods. This contribution is significant for students and researchers working on low-cost, educational robotics platforms, as it offers a practical framework for implementing intelligent control without complex hardware. Adam’s work has been cited in subsequent studies on fuzzy navigation and swarm robotics, reflecting its foundational role in accessible, simulation-driven robotics research. His achievements highlight the potential of fuzzy logic to bridge the gap between theoretical control and real-world robot autonomy.