L. A. Aguilera-Cortés

Papers

Total Citations

H-Index

About

L. A. Aguilera-Cortés is a researcher focused on robotics and manufacturing automation, with particular expertise in robot kinematics, path planning, and energy-efficient design. Their work spans both theoretical modeling and practical implementation, addressing challenges in industrial robotics and precision manufacturing. A key contribution is their 2006 paper on an optimal path-generation algorithm for manufacturing arbitrarily curved surfaces using uncalibrated vision (23 citations), which advanced computer-integrated manufacturing by enabling precise surface machining without extensive calibration. They have also contributed to workspace analysis, notably through their 2014 study of a Delta-like robot using an alternative kinematic approach (6 citations). More recently, their 2022 work on energy consumption analysis for an adaptive 3R industrial robot prototype (4 citations) presents a methodology to reduce energy use by optimizing robot architecture based on torsion angles, offering a pathway toward more sustainable industrial automation. With a career spanning foundational path-planning algorithms to contemporary energy-efficiency challenges, Aguilera-Cortés demonstrates a sustained commitment to improving the performance and sustainability of robotic systems for manufacturing applications.