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About

Gillang Al Azhar is an emerging researcher specializing in mobile robotics, control systems, and autonomous navigation. His work centers on advancing the capabilities of wheeled mobile robots, with particular emphasis on omnidirectional locomotion, kinematic control algorithms, and sensor fusion techniques. Among his most recognized contributions is his research on Independent Steering Independent Driving (ISID) mobile robots and the development of exponential decreased kinematic and PID control schemes for omni-wheeled platforms, both published in 2021 and garnering five and four citations respectively. His investigations into probabilistic localization methods, including comparative analyses of discrete Bayes and Kalman filters, demonstrate a strong foundation in autonomous robot navigation. Gillang has also made practical contributions to differential drive robots, exploring odometry-compass sensor fusion and Robot Operating System (ROS)-based data distribution architectures to improve motion accuracy and computational efficiency. More recently, his interests have expanded to electric motor control, including Field Oriented Control modeling for BLDC motors — a technology increasingly relevant to electric vehicles. With a growing body of work cited across the robotics community, Gillang represents a thoughtful contributor bridging theoretical control design with real-world robotic applications.