Project Grant 2541947
- 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 Grant Award Summary UC Riverside received a $300,000 Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2028. This collaborative research project will deliver foundational research and algorithmic innovations addressing trustworthy and resilient coordination in multi-agent systems (MAS). The...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a five-year CAREER grant totaling $602,698 to the University of Kentucky Research Foundation, effective September 1, 2025, through August 31, 2030. Under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), this project develops safe and reliable human-robot shared control systems for robotic telemanipulation in complex and extreme...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a Project Grant of $392,763 to UC Berkeley (effective October 1, 2025 through December 31, 2026) under the Computer and Information Science and Engineering program (CFDA 47.070). This award funds research into algorithmic foundations and methodological frameworks for human-robot collaboration systems, specifically focusing on the development of autonomous aerial...
- 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,...
- Federal Project Grant Award Summary The University of Southern California received a $400,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for a collaborative research initiative titled "Towards Assured Robust Intelligence in Multi-Agent Systems with Runtime Safety." Effective August 1, 2025, through July 31, 2028, this award supports the...
- Federal Grant Award Summary This NSF CAREER award, totaling $560,000 and administered through the Engineering program (CFDA 47.041), funds a five-year project (April 1, 2026 – March 31, 2031) at Rochester Institute of Technology to develop adaptive machine learning systems capable of continuous learning without catastrophic forgetting. The primary deliverables include fundamental algorithms and theoretical frameworks for continual learning that leverage Bayesian uncertainty quantification,...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a CAREER grant totaling $315,154 to the Regents of the University of California at Riverside on July 1, 2026, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, "Redefining Testing Foundations for Heterogeneity-Aware AI Compilation," will operate through June 30, 2031, and develops a cross-layer testing framework to...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded a five-year CAREER grant totaling $349,875 to the University of California Santa Cruz, effective October 1, 2026, through September 30, 2031. The project develops a unified, safety-aware learning framework to identify and mitigate risks arising from human-large language model...
- Federal Grant Award Summary Carnegie Mellon University received a $500,000 Project Grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), awarded July 1, 2025, with completion targeted for June 30, 2030. This CAREER award supports fundamental research on safety, human alignment, and interaction-awareness in autonomous control systems operating across multiple domains including transportation,...
The National Science Foundation (NSF) Division of Computer and Network Systems (CFDA 47.070) awarded UC Riverside $573,377 through a CAREER Project Grant, effective June 1, 2026 through May 31, 2031, to develop a unified framework for safe, reliable, and interpretable robotic teleoperation in high-risk, unstructured environments. The project will create methods and tools that enable robots to better understand human intent, provide timely assistance, and maintain safe and predictable performance even under uncertainty through the integration of artificial intelligence (AI) foundation models with formal methods for safety specification. Unlike existing "black-box" teleoperation approaches, this research will produce interpretable AI systems and certification methodologies that ensure robots can adapt to dynamic conditions while maintaining verifiable safety guarantees, particularly for applications in surgical robotics, disaster response, space operations, and nuclear environments. The project deliverables include novel formal logic frameworks for human-robot intent interpretation, safety certification protocols, and control architectures that reduce operator workload through effective shared autonomy. Broader impacts encompass the development of trustworthy robotic systems for healthcare, manufacturing, and exploration sectors, along with educational contributions through hands-on research opportunities for undergraduate and graduate students, interactive K-12 robotics activities, and collaborative partnerships with national laboratories and industry partners to establish safety standards for advanced robotic systems.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $573.4k | 5/5/26 |