Jennifer Coniglio
Papers
2
Total Citations
6
H-Index
2
About
Jennifer Coniglio is a rising expert in freeform optics manufacturing, with a focus on eliminating mid-spatial frequency (MSF) errors that degrade optical performance. Her research bridges precision engineering and machine learning, developing algorithm-driven robotic platforms that automate the smoothing of these complex surface defects. Coniglio’s most cited work introduces a force-controlled system that uses deflectometry feedback and machine learning to intelligently correct MSF errors, replacing labor-intensive hand-polishing with repeatable, data-driven precision. Her 2022 paper, with 4 citations, demonstrates how freeform optics—critical for next-generation space telescopes and advanced imaging systems—can be manufactured more reliably. A second key paper (2021, 2 citations) further details a robotic platform that integrates real-time measurement and corrective algorithms, directly addressing a bottleneck in freeform fabrication. By automating error correction, Coniglio’s contributions help unlock the full design flexibility of freeform optics, enabling lighter, more powerful optical systems. Her work is particularly notable for combining practical manufacturing challenges with cutting-edge AI, positioning her at the forefront of intelligent optical fabrication. As freeform optics become essential in aerospace and defense, Coniglio’s innovations are poised to significantly impact how these advanced components are produced at scale.
Research Focus
Key Achievements
Top Papers
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- 2