Project Grant 2540765
- Federal Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded the University of Texas at Dallas a $309,669 CAREER grant effective August 1, 2025, through July 31, 2030, under the Computer and Information Science and Engineering program (CFDA 47.070). This project grant supports research into improving the attack resilience of robotic systems through a comprehensive cross-domain security framework that addresses vulnerabilities spanning both...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computer and Network Systems is awarding $500,000 under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Texas at Austin to develop algorithmic foundations for cloud robotic systems. The project, titled "CAREER: Foundations of Cloud Robotics—Where Neural Networks Meet Physical Networks," runs from July 1, 2026, through June 30, 2031, and addresses the...
- Federal Grant Award Summary The National Science Foundation (NSF) Directorate for Engineering awarded the University of Texas at Arlington $299,963 on July 15, 2026, through its Engineering program (CFDA 47.041) to support collaborative research on scaling robust multi-agent systems. The project, which runs through June 30, 2029, will develop efficient learning methods and decentralized algorithms that enable autonomous multi-agent systems to perform reliably in real-world environments. The...
- Federal Grant Award Summary The National Science Foundation's Engineering program (CFDA 47.041) awarded the University of Texas at Dallas a $500,945 Faculty Early Career Development (CAREER) grant effective October 1, 2025, through September 30, 2030. This project will develop fast, flexible, and accurate lumped parameter network multiphysics models for electric machines that integrate electromagnetic, structural, and thermal equivalent circuit representations. The primary deliverable is an...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $408,211 CAREER Project Grant to the University of Texas at Arlington (effective July 1, 2026 through June 30, 2031) under the Computer and Information Science and Engineering program (CFDA 47.070). The award supports research and development of an artificial intelligence (AI)-driven integrated sensing, computing, and communication framework to enable proactive network resource...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded a $650,000 CAREER (Faculty Early Career Development) grant to the University of Pennsylvania, effective July 1, 2025 through June 30, 2030, under the Engineering program (CFDA 47.041). This project grant funds research and development of constraint-aware algorithms and control methods that enable robots to safely and effectively collaborate with humans in dynamic,...
- 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...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) awarded a CAREER (Faculty Early Career Development) Project Grant of $121,064 to the University of California, Berkeley, effective July 1, 2025 through March 31, 2027. This award supports fundamental research and educational initiatives focused on re-thinking the perception-action paradigm for agile autonomous...
- Federal Project Grant Award Summary Award Details: This $500,000 National Science Foundation (NSF) Engineering (CFDA 47.041) CAREER Project Grant was awarded to Texas A&M Engineering Experiment Station on April 15, 2026, with a completion date of March 31, 2031. The award supports research and development addressing the autonomous real-time coordination of ultra-large-scale converter-based distributed energy resources (C-DERs) in integrated transmission-distribution power systems. Products...
- Federal Grant Award Summary Northeastern University received a $515,000 CAREER Project Grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective July 1, 2025 through June 30, 2030. The award funds fundamental research in decentralized manifold optimization (DMO) for multi-agent networks, addressing three core technical challenges: scalability, computational efficiency, and adaptation to dynamic...
The National Science Foundation's Directorate for Engineering (CFDA 47.041) awarded a CAREER (Faculty Early Career Development) Project Grant of $514,916 to the University of Texas at Dallas on July 15, 2026, with an ultimate completion date of June 30, 2031. This award funds research into adaptive and scalable resilience methods for complex networked systems, including robot teams, infrastructure networks, and distributed learning systems. The project will deliver new mathematical foundations and algorithms that enable networks to maintain rigorous performance guarantees under uncertainty, faults, and attacks while allowing performance to degrade gracefully rather than collapse unpredictably. Key deliverables include theoretical frameworks for functional and structural resilience, algorithms that remain accurate beyond current failure thresholds, and methods for identifying hidden robust structures in sparse networks and determining which information and connections require protection. The research integrates tools from discrete geometry, graph theory, and control theory to develop methods allowing agents to make reliable local decisions from imperfect information. Beyond technical contributions, the award supports broader impacts through research-driven educational modules, hands-on multirobot activities, and student research experiences designed to prepare an interdisciplinary STEM workforce for national needs in security and public welfare. The project will generate safer and more reliable infrastructure, robotics, and learning systems applicable across defense and civilian sectors.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $514.9k | 7/8/26 |