Project Grant 2618914
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Florida International University $250,000 on September 1, 2026, to develop computational frameworks for self-learning digital twins in robotic remanufacturing under uncertainty. The project, funded under the Engineering assistance listing (CFDA 47.041), runs through August 31, 2029, and is performed in Miami, Florida. The research establishes scientific foundations for digital twins that model,...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Florida $249,999 on September 1, 2026, to develop self-learning digital twins for robotic remanufacturing under uncertainty, under the NSF Engineering program (CFDA 47.041). The award funds research to establish scientific foundations for digital twins that model, predict, and adjust to uncertain manufacturing conditions in real time. The project develops a computational...
- This $199,066 Project Grant, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), supports research to automate the creation of digital twins for manufacturing systems using computer vision and deep learning. The key products and services to be delivered include: Developing a novel framework for fully automated digital twin generation through innovations in computer vision, deep learning, and data labeling. This will significantly reduce the manual effort...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded CSU Fullerton Auxiliary Services Corporation $248,043 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop a self-organizing manufacturing systems integration framework for personalized and dynamic production. The award funds research into autonomous manufacturing agents capable of collectively performing dynamic scheduling, resource allocation, and process control under...
- The National Science Foundation Division of Engineering Education and Centers awarded $452,933 to the University of Texas at El Paso on October 1, 2026, to establish a Research Experiences for Undergraduates (REU) Site focused on intelligent manufacturing, artificial intelligence, and digital twin technologies. The program immerses ten undergraduate students annually in ten weeks of faculty-mentored research integrating additive manufacturing, AI-driven design and process monitoring, and digital...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Southern California $250,000 on September 1, 2026, for collaborative research under the Engineering program (CFDA 47.041) to develop self-organizing manufacturing systems capable of distributed decision-making and dynamic adaptation to changing production conditions. The project, titled "SMARTSOM: Self-Organizing Manufacturing with Task Constraints and...
- This $256,000 National Science Foundation Engineering Directorate Project Grant supports the development of a digital twin composition method by Diamond Age Technology LLC. The awardee will develop techniques to efficiently combine disparate data sources describing industrial process facilities into a single digital representation with sub-centimeter accuracy. This digital twin can then be projected into spatial computing environments like virtual and augmented reality. The goal is to encode...
- This National Science Foundation Project Grant of $283,099 will support the development of new stochastic optimization methods to calibrate digital twins using large datasets. Awarded under the Engineering program (CFDA 47.041), the grant will fund research at the University of Michigan from January 2023 through December 2025. Specifically, the university researchers will develop computational approaches using statistical theories to guide simulation experiments and identify optimal subsets of...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Southern California $525,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop highly accurate digital twins of soft materials used in medical devices, robotics, manufactured products, and virtual reality. The project will measure how real elastic materials deform internally using an industrial computed tomography scanner...
- The National Science Foundation Division of Computer and Network Systems awarded Arizona State University $400,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop closed-loop digital twins that enable adaptive human-AI collaboration in manufacturing cyber-physical systems. The project addresses brittle, reactive artificial intelligence systems in modern manufacturing by creating intelligent models that monitor task execution in real...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The Regents of the University of California at Riverside $249,957 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop computational frameworks for self-learning digital twins in robotic remanufacturing. The research establishes scientific foundations for digital twins that model, predict, and adjust to uncertain manufacturing conditions in real time. The work addresses current limitations in digital twin technology—excessive computational demands and poor adaptation to changing operating conditions—that restrict deployment in advanced manufacturing. The project pursues three interconnected objectives: development of a hybrid modeling framework combining physics-based models and data-driven surrogate models through Bayesian multi-fidelity fusion; establishment of a hierarchical reinforcement learning framework linking strategic planning and operational decision-making; and integration of these components into a unified computational framework for autonomous decision-making under uncertainty. The research strengthens U.S. manufacturing competitiveness and circular economy by enabling practical recovery and reuse of products and materials while reducing waste. The project includes interdisciplinary education and workforce development in artificial intelligence, robotics, manufacturing, and data science through student research and outreach activities. Performance occurs at UC Riverside in Riverside, California, with a period of performance from September 1, 2026, through August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 7/29/26 |