Jacob Odle
Papers
1
Total Citations
4
H-Index
1
About
Jacob Odle is a researcher advancing the manufacturing of freeform optics—complex, non-axisymmetric surfaces that are revolutionizing optical design for space telescopes and high-performance imaging systems. His work focuses on overcoming the critical challenge of mid-spatial frequency errors, which degrade optical performance and arise during subaperture polishing processes. Odle’s key contribution, detailed in his 2022 paper “Force controlled mid-spatial frequency error smoothing using machine learning,” introduces a novel approach that integrates force-controlled polishing with machine learning algorithms to predict and correct these errors in real time. This work, which has garnered early attention with 4 citations, bridges precision manufacturing and data-driven optimization, offering a path to more reliable and efficient production of freeform optics. By enabling designers to fully exploit the flexibility of freeform surfaces without being constrained by manufacturing limitations, Odle’s research directly supports next-generation space telescopes and other advanced optical systems. His innovative fusion of mechanical control and artificial intelligence marks him as a rising contributor to the field of precision optical fabrication.
Research Focus
Key Achievements
Top Papers
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