Carlos A. Arellano‐Muro

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional

Papers

Total Citations

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About

Carlos A. Arellano‐Muro is a leading researcher in the intersection of aerial robotics, nonlinear control systems, and educational mechatronics for Industry 4.0. His most influential work, "Backstepping control with sliding mode estimation for a hexacopter" (2013, 43 citations), introduces a robust nonlinear controller for hexarotor trajectory tracking. By combining backstepping control with sliding mode estimation, Arellano‐Muro effectively addresses the complex aerodynamic forces and wind disturbances that challenge unmanned aerial vehicle (UAV) stability—a critical contribution to autonomous flight in real-world environments. His more recent work, "UAV Flight Instructional Design for Industry 4.0 based on the Framework of Educational Mechatronics" (2020, 15 citations), bridges the gap between advanced control theory and practical education. This paper integrates Internet of Things, artificial intelligence, and cyber-physical systems into a structured pedagogical framework, preparing the next generation of engineers for smart factory automation. Arellano‐Muro’s research not only advances the theoretical foundations of UAV control but also ensures these innovations are accessible and applicable in Industry 4.0 contexts. His dual focus on cutting-edge control design and educational implementation makes him a pivotal figure in shaping both the technology and the workforce of modern robotics.