Project Grant 2618912
- 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 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...
- 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 Florida State University $299,999 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop knowledge-guided methods for correcting predictive manufacturing models trained on corrupted or mislabeled data. The project will integrate hierarchical knowledge graphs, semantic consistency analysis, and localized model correction to remove invalid learned relationships from manufacturing...
- Federal Grant Award Summary The University of Florida's Division of Sponsored Research received a $281,589 Project Grant from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective September 1, 2025, through August 31, 2028. This research initiative focuses on developing model-agnostic strategies to align artificial intelligence (AI) systems with real-world operational goals in predictive...
- The National Science Foundation awarded a $200,000 Project Grant to Florida Institute of Technology Inc. under the Engineering program (CFDA 47.041) to investigate new approaches for concurrently considering manufacturing processes in the early stages of materials and product design. Specifically, the two-year award will support the development of a novel systems-based framework for the inverse co-design of materials, products, and manufacturing processes in terms of robust decisions made...
- This four-year Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation provides $399,585 to the University of Florida for collaborative research titled "A Causal AI Digital Twin Framework to Transform Intensive Care Delivery." The award's stated purpose is to support investigator-initiated research and education under the Computer and Information Science and Engineering program (CFDA 47.070). Specifically, the University of...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of North Florida $200,000 on July 1, 2026, under the Engineering Research Initiation program to develop a vision-simulation-driven in-situ quality-control system for laser powder bed fusion manufacturing. The project addresses defect-driven scrap and rework in metal additive manufacturing by creating a within-layer detect-predict-decide-act loop that couples real-time perception,...
- The National Science Foundation Division of Undergraduate Education awarded Drexel University $399,869 on October 1, 2026, under the STEM Education program (CFDA 47.076) to develop and implement curriculum pathways and laboratory experiences integrating artificial intelligence, digital twins, robotics, and simulation-driven manufacturing technologies into undergraduate engineering technology education. The project develops instructional modules, laboratory activities, and project-based...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded $500,000 to the University of Florida Division of Sponsored Research on August 1, 2026, under the Engineering program (CFDA 47.041) to develop scalable manufacturing of smart sensors for visual detection of hazardous chemicals. The project will establish a manufacturing platform for chromogenic sensors integrating macroporous photonic crystal architecture with multi-stimuli-responsive shape memory...
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 framework unifying predictive modeling and autonomous decision-making under uncertainty, addressing three interconnected objectives: a hybrid modeling framework combining physics-based and data-driven surrogate models through Bayesian multi-fidelity fusion; a hierarchical reinforcement learning framework linking strategic planning and operational decision-making; and autonomous robotic task execution capable of adapting to varying product designs, wear levels, and uncertain histories in remanufacturing environments. The research strengthens U.S. manufacturing competitiveness and sustainability by enabling practical recovery and reuse of products and materials while reducing waste and supporting circular economy principles. The project incorporates interdisciplinary education and workforce development in artificial intelligence, robotics, manufacturing, and data science through student research experiences and outreach activities. Performance occurs in Gainesville, Florida, with a period of performance from September 1, 2026, through August 31, 2029. This is a collaborative research project classified as a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 7/29/26 |