Project Grant 2535276
- 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...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Cornell University $453,440 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop a robot safety framework that uses deep generative modeling to infer safe behavior from expert demonstrations rather than relying on manually defined safety rules. The project creates a reusable safety filter module that composes with any robot controller to correct unsafe actions before...
- 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 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 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...
- This five-year, $1.2 million project grant from the National Science Foundation's Integrative Activities program will fund research into community-embedded robotics through long-term autonomous deployments. The University of Texas at Austin, in partnership with the University of Texas System, will combine expertise in human-robot interaction, human factors, organizational communication, science and technology studies, team science, and research informatics. The project aims to study interactions...
- 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...
- This $375,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The goal of the project is to develop tools and methods to help ensure the safe operation of autonomous systems that utilize reinforcement learning (RL) algorithms. Key activities include: 1) developing inverse RL algorithms to learn an agent's reward function from demonstrations, 2) exploring the agent's norms to...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded $300,000 to Texas A&M Engineering Experiment Station on July 1, 2026, under the Engineering program (CFDA 47.041) to develop decentralized multi-agent reinforcement learning algorithms for constrained Markov games. The project addresses how multiple autonomous decision-makers—such as robots, energy resources, or actuators—can learn to operate safely and efficiently in dynamic and uncertain...
- This $750,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Computing and Communication Foundations under the CFDA program "Computer and Information Science and Engineering." The grant was awarded to the University of Texas at Austin to develop a new paradigm for robot learning from demonstrations (LfD) using program synthesis techniques. The research aims to address limitations in existing neural network-based LfD approaches by combining them with...
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 filter module that composes with any robot controller to correct unsafe actions before execution, applicable in settings from assembly lines to assistive devices. The filter can be conditioned on verbal feedback from human coworkers, allowing robots to adjust to individual preferences. The project delivers open-source software and benchmark tasks for the research community. Educational activities integrate project themes into graduate and undergraduate robotics courses at Cornell University and the University of Texas at Austin, with undergraduate research mentorship through summer programs. K-12 outreach includes curriculum development with local school districts and partnerships with local science centers and robotics teams in Ithaca and Austin. Work is performed in Austin, Texas. The period of performance runs from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $360.0k | 8/13/26 |