Luis Alberto Morales-Rosales

Universidad Michoacana de San Nicolás de Hidalgo, National Polytechnic School

Papers

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About

Luis Alberto Morales-Rosales is a researcher specializing in mobile robotics, artificial intelligence, and control systems, with a focus on intelligent navigation and manipulation. His major contributions lie in developing reactive obstacle-avoidance systems for wheeled mobile robots, integrating AI techniques to enhance real-time environmental perception and decision-making. His most cited work, "Reactive Obstacle–Avoidance Systems for Wheeled Mobile Robots Based on Artificial Intelligence" (2021), with 7 citations, analyzes sensor-driven reactive strategies that allow robots to detect and avoid obstacles autonomously, advancing the field of autonomous navigation. Additionally, his work on the "Control de Seguimiento de Trayectoria y Paletización de un Robot de Tres Grados de Libertad Tipo SCARA" (2014) demonstrates his expertise in robotic manipulation, focusing on trajectory tracking and palletization for industrial applications. Through these studies, Morales-Rosales has contributed to bridging AI with practical robotics, improving both safety and efficiency in automated systems. His research is particularly valuable for students and engineers exploring intelligent control and autonomous robot behavior, offering foundational insights into reactive systems and sensor-based navigation.