Papers
7
Total Citations
247
H-Index
6
About
I. Iglesias is a prominent researcher specializing in robotic machining, flexible manufacturing systems, and precision compensation methods for industrial robotics. With a career spanning over a decade, Iglesias has made substantial contributions to understanding and advancing the application of industrial robots in complex machining operations, including milling, drilling, grinding, and deburring. His most influential work, a 2015 overview of robotic machining's state of the art (160 citations), established a foundational reference for researchers and engineers exploring cost-effective, reconfigurable manufacturing alternatives to traditional CNC systems. This was complemented by his investigations into critical limiting factors in robotic machining — particularly the inherent low stiffness of industrial robots — and the development of predictive and compensation methodologies to overcome path deviation challenges. His 2023 work on non-contact CMM-based path compensation training and his 2024 review of robot-assisted compensation for lightweight advanced materials (34 citations) demonstrate his continued relevance at the frontier of sustainable, high-performance manufacturing. Iglesias has also applied his expertise to real-world industrial contexts, including adaptive robotic cells for marine component processing and small-batch manufacturing. With nearly 250 cumulative citations, his body of work offers essential reading for anyone pursuing intelligent, precision-driven robotic manufacturing solutions.
Research Focus
Key Achievements
Top Papers
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