Smoothing mid-spatial frequency (MSF) errors on freeform optics with an algorithm-based robotic platform utilizing deflectometry input

Jennifer Coniglio; Nick Quattrociocchi; Matthew Eisner; Starbuck Beagley; Joshua Beck; Daniel R. Brooks; Brittany Cox; Jamie Perdue; Jessica DeGroote Nelson

doi:10.1117/12.2602729

10 December 2021 Smoothing mid-spatial frequency (MSF) errors on freeform optics with an algorithm-based robotic platform utilizing deflectometry input

Jennifer Coniglio, Nick Quattrociocchi, Matthew Eisner, Starbuck Beagley, Joshua Beck, Daniel R. Brooks, Brittany Cox, Jamie Perdue, Jessica DeGroote Nelson

Author Affiliations +

Proceedings Volume 11889, Optifab 2021; 118891D (2021) https://doi.org/10.1117/12.2602729
Event: SPIE Optifab, 2021, Rochester, New York, United States

Abstract

Freeform optics offer great flexibility in design parameters, but the subaperture techniques required for manufacture often result in mid-spatial frequency (MSF) errors that can impact final performance. These errors must be removed, but the options to do so, often requiring hand-smoothing by a skilled artisan, are costly and time-consuming. Optimax has developed the HERMES (High End Robotic MSF Elimination System) a robotic platform that uses a machine learning algorithm to smooth parts. Preliminary research indicated promising results, but the process had not yet been compared to the “gold standard” of human smoothing. Results indicate that HERMES fared well compared to smoothing results of a highly skilled artisan. Future directions for work are discussed.

Conference Presentation

Citation Download Citation

Jennifer Coniglio, Nick Quattrociocchi, Matthew Eisner, Starbuck Beagley, Joshua Beck, Daniel R. Brooks, Brittany Cox, Jamie Perdue, and Jessica DeGroote Nelson "Smoothing mid-spatial frequency (MSF) errors on freeform optics with an algorithm-based robotic platform utilizing deflectometry input", Proc. SPIE 11889, Optifab 2021, 118891D (10 December 2021); https://doi.org/10.1117/12.2602729

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