Project Grant 2617254
- This National Science Foundation (NSF) Computer and Information Science and Engineering grant (CFDA 47.070) provides $50,000 to William Marsh Rice University to support research on enabling robust and dexterous robot manipulation capabilities for uncertain environments. The 5-year project, starting on June 1, 2023, explores a novel "manipulation funnels" framework to enable robots to handle uncertainties and unknowns through compliance- and motion-based strategies. This includes...
- The National Science Foundation Division of Computing and Communication Foundations awarded William Marsh Rice University $423,517 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a novel artificial intelligence framework for representing, visualizing, and analyzing large heterogeneous geospatial signal sets. The project will create a Multivariate Neural Field (MVNF) framework—a continuous function representation using a shared...
- The National Science Foundation (NSF) awarded a $206,043 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to William Marsh Rice University in Houston, Texas. The grant funds the Rice Collaborative Object Store, which provides production-level data storage, access, and transfer services to support computationally intensive research across fields like modeling and simulation, AI/machine learning, geospatial analysis, and bioengineering. The new...
- This $349,000 National Science Foundation project grant supports research at Rice University to develop new robotics capabilities under uncertainty. The NSF Division of Civil, Mechanical, and Manufacturing Innovation is funding this three-year award through its Engineering program (CFDA 47.041). Specifically, the researchers will establish generic frameworks for robot manipulation systems to self-identify using exploratory motions while maintaining stability. By changing the traditional...
- Federal Project Grant Award Summary William Marsh Rice University received a $140,000 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective September 1, 2025, through August 31, 2028. This award supports the development of risk-sensitive learning-augmented adaptive control algorithms designed to address operational challenges in complex networked systems. The research will advance...
- This National Science Foundation Project Grant award of $549,995 supports research and education activities at the University of Texas at Austin from April 1, 2022 through March 31, 2027. The award is funded through the Computer and Information Science and Engineering program (CFDA 47.070) to enable intelligent robot manipulation in real-world tasks. Specifically, the award will advance the development of new algorithms and tools for intelligent robot manipulation outside controlled research...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Texas at Austin $650,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop continual learning methods enabling mobile manipulation robots to acquire, refine, and reuse household skills over time without full retraining when encountering new environments, objects, or tasks. The research will create a continual learning framework organized...
- This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop ultra-fast algorithms and software cyberinfrastructure for searching high-dimensional spaces. The $599,302 award to William Marsh Rice University, effective September 15, 2024 through August 31, 2027, will focus on creating scalable, next-generation software infrastructure to enable efficient search across diverse applications...
- This $121,714 Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities will fund the development of a research agenda for the integration of robotic assistants into nursing workflows. Awarded to William Marsh Rice University on September 1, 2022 and set to be completed by August 31, 2023, this grant is part of the NSF Engineering program (CFDA 47.041). Over the one-year period of performance, Rice University will convene workshops and...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Texas at Austin $500,000 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for research on cloud robotics systems that dynamically balance edge computation and cloud inference under network constraints. The project develops algorithmic foundations enabling robotic fleets to continuously learn and adapt while managing the inherent trade-off between...
The National Science Foundation Division of Computing and Communication Foundations awarded William Marsh Rice University $894,426 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop software infrastructure for sourcing, organizing, and retrieving web-scale video data for robot learning. The project addresses the lack of large, diverse datasets available for training robotic systems to manipulate objects reliably across varied environments. Rather than requiring expensive, time-intensive recording of individual robotic demonstrations, the work will create a hand-object-centric data engine that identifies, filters, and organizes videos from online sources showing people interacting with objects—opening containers, using tools, cleaning spaces—and converts this material into structured, searchable datasets for robotics research. The resulting shared data resources and retrieval tools will lower the cost of building capable robot systems, support safer and more adaptable automation, and broaden access to robotics research. The award funds three main activities centered on developing the data engine and supporting infrastructure. Performance occurs at Rice University's Houston, Texas campus with a period of performance from September 1, 2026, through August 31, 2029. The assistance type is a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $894.4k | 7/20/26 |