Nora Agirre
Papers
2
Total Citations
8
H-Index
2
About
Nora Agirre is a researcher focused on the precision and performance of industrial and collaborative robotics, with a particular emphasis on machining and manufacturing applications. Her work addresses critical challenges in robotic accuracy, specifically the influence of motion velocity on the quasi-static deflections of industrial articulated robots. In her most-cited paper (2023, 6 citations), she provides a comparative analysis of deflection behavior across three different manufacturers, offering valuable insights for improving robotic positioning in high-speed operations. Agirre also explores the use of collaborative robots for robotic-assisted thin-wall machining (2020, 2 citations), demonstrating how these systems can serve as cost-effective supports to enhance the quality of machined components. Her contributions are significant for advancing the practical deployment of robots in precision manufacturing, where stiffness and accuracy are paramount. By bridging the gap between robotic dynamics and industrial application, Agirre’s work supports the development of more reliable and efficient automated systems, making her research highly relevant for engineers and researchers in robotics, manufacturing, and mechatronics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotic assisted thin-wall machining with a collaborative robot2 citations · 2020