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About

Muhammad Ridho Rosa is an emerging robotics and control systems researcher whose work centers on autonomous mobile robots, manipulator control, and advanced navigation strategies. His research bridges theoretical control frameworks with practical hardware implementation, making notable contributions to both robot kinematics and real-world deployment of intelligent systems. Rosa's most recognized contributions include the development of PID-based controllers for 3-DoF robot manipulators and the implementation of Control Lyapunov-Barrier Function (CLBF) methods for autonomous mobile robots. His CLBF-focused work is particularly significant, demonstrating how stability and safety can be simultaneously guaranteed in robotic systems — a challenge of considerable importance in autonomous navigation. These studies, accumulating citations across 2021–2022, reflect growing interest from the robotics community in his hybrid theoretical-experimental approach. Beyond safety-critical control, Rosa has explored mecanum-wheeled robot navigation, Ackermann steering systems, and Kalman Filter-based localization combined with PID control — addressing real-world challenges in logistics and transportation automation. His Hardware-in-the-Loop simulation methodology further highlights a commitment to bridging the gap between theoretical models and deployable robotic systems, positioning him as a promising contributor to the field of intelligent autonomous robotics.