Carlos Garriz

Universidad Nacional de Educación a Distancia

Papers

Total Citations

H-Index

About

Carlos Garriz is a researcher specializing in robotics, trajectory optimization, and industrial automation, with a particular focus on applications within the automotive manufacturing sector. His work addresses one of the most pressing challenges in modern industry: improving the efficiency and performance of manipulator robots operating in highly automated production environments. Garriz's most notable contributions center on developing advanced methods for optimizing robotic arm trajectories. His 2019 paper introduced a novel application of the Kalman algorithm to trajectory optimization for six-degree-of-freedom robotic arms with spherical wrists, maximizing manipulability through rigorous kinematic modeling. Building on this foundation, his 2022 work expanded the approach to simultaneously optimize for both energy efficiency and robot performance — a critical concern as manufacturers seek to reduce operational costs and environmental impact without sacrificing productivity. Both papers have each accumulated 32 citations, reflecting meaningful influence within the robotics and manufacturing engineering communities. Together, they establish Garriz as a consistent voice in the field of intelligent motion planning for industrial robots. His research offers practical, implementable solutions for factories navigating the demands of high-volume, flexible production — making his work especially relevant for engineers and students exploring the future of smart manufacturing.