Muhammad Khairi Faiz

University of Malaya, Universitas Negeri Surabaya

Papers

Total Citations

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About

Muhammad Khairi Faiz is a robotics researcher whose work focuses on autonomous navigation and robust control systems for mobile robots, with particular emphasis on path planning and motion control in constrained industrial environments. His most impactful contribution is the development of the Generalized Laser Simulator (GLS), a novel path planning algorithm introduced in his 2021 paper, which has garnered 16 citations. This algorithm addresses the critical challenge of enabling wheeled mobile robots to navigate two-dimensional environments while respecting physical constraints, offering a practical solution for real-world deployment in warehouses and production lines. In his more recent 2023 work, Faiz tackles the complexity of controlling four Mecanum-wheel Automated Guided Vehicles (AGVs) by proposing a double-loop controller that integrates Sliding Mode Control (SMC) with PID, achieving robust performance despite system nonlinearities and uncertainties. His research bridges the gap between theoretical control methods and practical industrial automation, contributing to the growing field of autonomous material transport. Faiz's work is particularly relevant for students and researchers interested in mobile robotics, path optimization, and the implementation of advanced control strategies in logistics and manufacturing settings.