2023
DOI: 10.1038/s41586-023-06684-3
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Vision-controlled jetting for composite systems and robots

Thomas J. K. Buchner,
Simon Rogler,
Stefan Weirich
et al.

Abstract: Recreating complex structures and functions of natural organisms in a synthetic form is a long-standing goal for humanity1. The aim is to create actuated systems with high spatial resolutions and complex material arrangements that range from elastic to rigid. Traditional manufacturing processes struggle to fabricate such complex systems2. It remains an open challenge to fabricate functional systems automatically and quickly with a wide range of elastic properties, resolutions, and integrated actuation and sens… Show more

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Cited by 31 publications
(6 citation statements)
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References 53 publications
(63 reference statements)
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“…3D printing has emerged as a cutting-edge technology in recent years due to the advantages of high design freedom, excellent stability, and precise control of morphology. 208 Figuerola and colleagues prepared 3D printed catalysts by anchoring MOF/polymer mixed-matrix coating (MOF-MMC) on 3D printed devices (Fig. 17i).…”
Section: Applications Of Mof-derived Materials For Ps-aopsmentioning
confidence: 99%
“…3D printing has emerged as a cutting-edge technology in recent years due to the advantages of high design freedom, excellent stability, and precise control of morphology. 208 Figuerola and colleagues prepared 3D printed catalysts by anchoring MOF/polymer mixed-matrix coating (MOF-MMC) on 3D printed devices (Fig. 17i).…”
Section: Applications Of Mof-derived Materials For Ps-aopsmentioning
confidence: 99%
“…Therefore, these two parameters must be balanced based on the prepared bioink, bioprinter type, and target biomedical applications. With the rapid development of AI, it is exciting and promising to continue exploring the integration of AI into current bioprinting technologies [ [219] , [220] , [221] , [222] , [223] , [224] ]. Future AI-integrated 4D bioprinting holds promise in greatly improving the printing efficiency and product quality.…”
Section: Challenges and Outlookmentioning
confidence: 99%
“…The trained feedforward model is used to forecast the expected output characteristics based on the given input parameters. However, the inverse of such a system is more advantageous as it allows the user to specify the desired output and obtain a prediction for the required input parameters to realize the desired output 17 . To achieve this, optimization methods were used in combination with the feedforward MEW model to develop functionality that minimizes a cost function under speci ed constraints.…”
Section: Feed-forward Process Simulationmentioning
confidence: 99%