The National Science Foundation awarded a $721,021 project grant to the University of Michigan under the Engineering federal grant program (CFDA 47.041) to develop new foundations for multi-fidelity prediction, estimation, and learning under uncertainty in dynamical systems from September 1, 2023 through August 31, 2028. The University will conduct research to enable autonomous systems to estimate the effects of prediction uncertainty on planning and control decisions, with a focus on autonomous soaring aircraft and urban environments. This includes developing new algorithms for rigorously quantifying uncertainty and updating computational models, and validating the techniques using experimental aircraft in controlled wind conditions. As part of the work, the University will integrate educational efforts such as workshops, a new data science course, and exhibits at a hands-on museum to bring computational perspectives on modeling, data science, and statistics to engineering students and the public. The award of $721k supports the Foundation's goal of fostering innovation and excellence in engineering research.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $721.0k | 5/10/23 |