Project Grant 2535892
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Austin $360,000 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop robot safety methods using deep generative modeling. The project replaces hand-crafted safety constraints with learned representations of safe behavior by aggregating expert demonstrations across a wide variety of tasks and operating conditions. The research produces a reusable safety...
- 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...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of Washington $360,000 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop robotic systems that adapt rapidly to failures and environmental changes without full retraining. The research addresses the brittleness of current learned robot controllers—a robot arm tuned to assemble one product cannot adjust when parts change shape, and a legged robot reliable on...
- The National Science Foundation awarded a $590,469 project grant to the University of Texas at Austin on April 1, 2021 for research titled "CAREER: ROBUST PERCEPTION AND CUSTOMIZATION FOR LONG-TERM AUTONOMOUS MOBILE SERVICE ROBOTS." The grant is funded through the NSF's Engineering program (CFDA 47.041), which seeks to improve quality of life and economic strength through engineering research and education. Under this five-year project grant, the University of Texas at Austin will...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Dallas $514,916 on July 15, 2026, under the NSF CAREER program (CFDA 47.041 Engineering). The award funds development of adaptive and scalable resilience methods for complex networked systems such as robot teams, infrastructure networks, and distributed learning systems that must operate reliably under corrupted information, imprecise measurements, and partial network...
- 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 Computer and Network Systems awarded the University of Texas at Austin $600,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a function encoder framework for transferable and adaptive cyber-physical intelligence in metal additive manufacturing. The award funds research developing learning-enabled control systems that generalize knowledge across tasks, adapt to changing operating...
- 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 Electrical, Communications and Cyber Systems awarded the University of Texas at Arlington $299,963 on July 15, 2026, under the NSF Engineering program (CFDA 47.041) to develop robust multi-agent learning algorithms with mathematical guarantees for reliable performance in unpredictable real-world environments. The award funds research into decentralized learning methods that allow autonomous agents to make decisions using only local information, and...
- Federal Grant Award Summary The University of Texas at Austin received a $300,000 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), awarded August 15, 2025, with a completion date of July 31, 2027. This award supports the development of novel theory and algorithms for modeling and control of deformable systems, with primary emphasis on soft robotics. The research will deliver a coarse...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Austin $320,000 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop robotic systems that adapt to unexpected failures without requiring retraining. The project, titled "Collaborative Research: Learning In-Context Improvement for Robotic Systems via Training-Time Failure Simulation," addresses the brittleness of current robot controllers by deliberately exposing robots to failures during training so they learn to recover from errors and apply adaptive behavior to novel problems. The research aims to enable robots to rapidly correct behavior within seconds or a few attempts when encountering unexpected conditions—such as changed part shapes, different terrain, or component wear—without human re-engineering or full retraining cycles. Applications span manufacturing, delivery, and surgical assistance. The award funds research and educational activities including undergraduate and summer research participation, new course module development, and outreach to high school students in robotics and machine learning. Performance occurs in Austin, Texas from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $320.0k | 8/11/26 |