F. Pazos-Flores
Papers
2
Total Citations
13
H-Index
2
About
F. Pazos-Flores is a robotics researcher whose work focuses on advancing industrial automation through vision-guided robotic manipulation, particularly for tasks involving complex, unstructured surfaces. His primary research areas include uncalibrated vision systems, path planning, and trajectory tracking for industrial robots. His major contributions center on developing algorithms that enable robots to generate and follow optimal closed paths over arbitrary surfaces without requiring prior calibration of the vision system—a critical capability for applications like cutting and welding commercial plates. His 2007 paper on closed-path generation, with 9 citations, presents a novel approach for tracking trajectories over unknown geometries, directly addressing real-world industrial challenges. Building on this, his 2006 work on optimal path-tracking in unstructured environments, cited 4 times, extends the technique to three-dimensional surfaces using camera-space manipulation. These contributions are notable for their practical relevance, offering solutions that reduce setup time and increase flexibility in manufacturing. Pazos-Flores’s research bridges the gap between theoretical robotics and industrial application, providing foundational methods for adaptive, vision-based automation in environments where surface geometry is unpredictable.
Research Focus
Key Achievements
Top Papers
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