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About

Mohamad Shanudin Zakaria is a researcher specializing in autonomous robotics, computer vision, and artificial intelligence, with a particular focus on robot soccer systems as a platform for advancing intelligent machine behavior. His work explores the intersection of machine learning, image processing, and autonomous control, addressing real-world challenges that arise when robots must adapt dynamically to changing environments and opponent behaviors. Among his most notable contributions is his research into ball control techniques for robot soccer, where he developed predefined scenario-based approaches to improve dribbling and game strategy. His investigations into illumination systems tackled a fundamental obstacle in autonomous robotics — non-uniform lighting — proposing design solutions that enhance a robot's ability to detect objects and navigate effectively. His work on camera calibration, including a neural network-based approach for transforming real-world coordinates into camera coordinates, reflects his commitment to improving perceptual accuracy in robotic systems. With citations spanning conferences and journals in robotics and intelligent systems, Zakaria's research has contributed foundational insights to the autonomous robotics community. His body of work serves as a valuable reference for students and engineers developing vision-guided and AI-driven robotic platforms.