Project Grant 2543745
- 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 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 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 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...
- 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 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 University of Texas at Austin received a $301,586 Project Grant award from the National Science Foundation Division of Computer and Network Systems on October 1, 2021 to support research infrastructure for real-time computer vision and decision making via mobile robots through September 30, 2024. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which aims to advance computing, communications, and information science through...
- This National Science Foundation (NSF) CAREER Award under CFDA 47.041 Engineering program provides $517,612 to the University of Texas at Austin from March 1, 2025 to February 28, 2029. The project aims to develop new foundations of scalable and resilient distributed reinforcement learning for real-time autonomous cooperation in open multi-agent systems. The key goals are to design learning and control methods that enable agents to interact effectively in open systems, adapt to time-varying...
- 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...
- 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 $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 into three stages, drawing on partially observable Markov decision process formalism, continual learning theory, and cognitive models of human motor skill acquisition. The framework will enable robots to learn safely from minimal human guidance, improve through practice, combine previously learned skills to solve complex tasks, and share learning strategies across robots with different physical designs to accelerate adaptation. The project encompasses educational activities including K-12 outreach, undergraduate robotics education, graduate training, and participation in the RoboCup@Home international robotics competition. Performance will occur in Austin, Texas from the award date through July 31, 2031. The project is structured as a CAREER grant, a category supporting early-career faculty research and education integration.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $650.0k | 8/11/26 |