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While existing systems for autonomous calibration have demonstrated success in calibrating for a single objective, users may need to balance multiple conflicting objectives. Herein, an easily deployable, camera\u2010based system for autonomous calibration of FDM printers that optimizes for both part quality and completion time is presented. Autonomous calibration is achieved through a novel, multifaceted computer vision characterization and a multitask learning extension to Bayesian optimization. The system is demonstrated on four popular filament types using two distinct 3D printers. The results show that the system significantly outperforms manufacturer calibration across the machine and material configurations, achieving an average improvement of 32.2% in quality and a 31.2% decrease in completion time with respect to a popular benchmark.<\/jats:p>","DOI":"10.1002\/aisy.202400523","type":"journal-article","created":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T08:25:15Z","timestamp":1738743915000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Accelerated Multiobjective Calibration of Fused Deposition Modeling 3D Printers Using Multitask Bayesian Optimization and Computer Vision"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1348-2083","authenticated-orcid":false,"given":"Graig S.","family":"Ganitano","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering Air Force Institute of Technology  Wright\u2010Patterson AFB OH 45433 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benji","family":"Maruyama","sequence":"additional","affiliation":[{"name":"Materials and Manufacturing Directorate Air Force Research Laboratory  Wright\u2010Patterson AFB OH 45433 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6241-3084","authenticated-orcid":false,"given":"Gilbert L.","family":"Peterson","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering Air Force Institute of Technology  Wright\u2010Patterson AFB OH 45433 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,2,5]]},"reference":[{"key":"e_1_2_9_2_1","volume-title":"Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing","author":"Gibson I.","year":"2009"},{"key":"e_1_2_9_3_1","volume-title":"A Revolution in the Making","author":"Rundle G.","year":"2014"},{"key":"e_1_2_9_4_1","volume-title":"3D Printing and Additive Manufacturing State of the Industry","author":"Wohlers T.","year":"2022"},{"key":"e_1_2_9_5_1","unstructured":"N.Jaksic inASEE Annual Conf. and Exposition Conf. 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