Muhammad Akmal Jeffril

Papers

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About

Dr. Muhammad Akmal Jeffril is a robotics researcher specializing in intelligent control systems for autonomous mobile robots. His primary research focuses on obstacle avoidance in static environments, where he has pioneered the integration of fuzzy logic and artificial neural networks to enhance robot navigation. His most cited work, "Mobile robot obstacle avoidance by using Fuzzy Logic technique" (2013, 34 citations), introduces a novel approach using eight infrared sensors and fuzzy logic rules to control motor speed in E-puck robots, enabling smooth, real-time obstacle avoidance. Building on this, his second highly cited paper (18 citations) demonstrates the fusion of fuzzy logic with artificial neural networks, where fuzzy logic collects environmental data from infrared sensors, which is then used to train neural networks for more adaptive and robust navigation. Dr. Jeffril's contributions are significant for advancing autonomous robotics, particularly in developing low-cost, efficient controllers for small-scale robots. His work has been widely referenced in the fields of mobile robotics, intelligent control, and sensor fusion, making him a notable figure in applied fuzzy logic and neural network research for robotic systems.