Paulo Garrido

Papers

Total Citations

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About

Paulo Garrido’s research lies at the intersection of robotics, control systems, and sensor fusion, with a focus on practical, real-world applications. His most cited work, “Controlling an Equilibrist Lego Robot” (2015, 5 citations), demonstrates his expertise in nonlinear control theory by applying Linear Quadratic Regulator and PID methods to stabilize a self-balancing two-wheeled robot—a classic inverted pendulum problem. This hands-on approach highlights his ability to bridge theoretical control principles with tangible robotic systems. Earlier, Garrido explored multi-resolution control architectures in “Control of a robot painting system using the multi-resolution architectural principle” (2002, 2 citations), offering a flexible framework for integrating sensory behaviors and easing software development in industrial automation. His foundational work, “Surface Profile Based on Sensor Fusion” (1998, 2 citations), further underscores his interest in combining data from multiple sensors to enhance robotic perception. While his citation counts are modest, Garrido’s contributions are notable for their clarity and pedagogical value, making complex control concepts accessible to students and practitioners. His work on the Equilibrist Robot, in particular, serves as an excellent case study for those learning about balance and stability in robotics.