Project Grant 2543646
- Federal Grant Award Summary Oregon State University received a $398,166 project grant from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) awarded on June 15, 2025, with a completion date of May 31, 2030. This CAREER award supports the design and development of robotic nudging systems intended to promote health behaviors in older adults, with an initial focus on hydration support. The...
- 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 The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded The Ohio State University a $400,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the period September 1, 2025 through August 31, 2030. This CAREER award funds the development of a modular, generalist language agent for web automation powered by large language models (LLMs) orchestrated with lightweight,...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded a Project Grant of $356,787 to the University of Illinois under the Computer and Information Science and Engineering (CFDA 47.070) program, with an award date of July 15, 2026 and completion target of June 30, 2031. This CAREER award funds research to develop a new generation of artificial intelligence (AI) agents capable of self-monitoring, self-evaluation, and self-regulation through language-guided introspection. The...
- The National Science Foundation (NSF) awarded a $750,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Oregon State University (OSU). The purpose of this 4-year award, with a start date of September 1, 2024, is to develop tools and methods to design provably safe autonomous systems, with a focus on addressing safety challenges in reinforcement learning (RL) agents. Key activities include developing inverse RL algorithms to align agent norms...
- Federal Grant Award Summary Georgia TECH Research Corp received a $574,930 Faculty Early Career Development (CAREER) 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), effective July 1, 2025 through June 30, 2030. The award funds the development of an integrated robot learning and planning system that enables service robots to rapidly acquire and adapt new...
- Federal Project Grant Award Summary The National Science Foundation (NSF), Division of Information and Intelligent Systems, awarded a CAREER grant of $308,232 to the University of Oregon on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The project, titled "PROTRAIN: Enabling Efficient Large Language Model Training via Performance, Energy, and Reliability Co-Optimizations," will deliver a unified research and development framework...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded the University of Florida Division of Sponsored Research a $341,006 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) beginning October 1, 2025 and concluding January 31, 2030. This CAREER award supports research to develop formal method foundations for modeling, specification, and verification of machine learning (ML)-enabled autonomous systems. The project addresses a critical...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded $573,377 to the Regents of the University of California at Riverside under the Computer and Information Science and Engineering program (CFDA 47.070) on June 1, 2026, for a CAREER award titled "Toward Guaranteed Reliability in AI-Enabled Robotic Teleoperation Through Formal Logic and Certification." The five-year project (completion date May 31, 2031) will develop a...
- 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,...
Oregon State University received a $340,412 National Science Foundation (NSF) CAREER Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070), effective September 1, 2026, through August 31, 2031. The award funds research and development of an introspective reasoning paradigm for autonomous agents and robots operating in complex, real-world environments. The project will deliver foundational advances in three core technical areas: (1) model cognizance—enabling autonomous systems to proactively identify and repair their own model limitations through limited user interactions; (2) contextual planning—developing algorithms for prioritizing context-appropriate objectives and managing multi-objective tradeoffs; and (3) resilient execution—creating mechanisms for autonomous systems to detect and recover from unforeseen runtime errors with minimal disruption to task performance. The research outcomes will contribute to closing the feedback loop between self-monitoring and behavior adaptation, enabling autonomous systems such as warehouse robots and autonomous vehicles to operate reliably in unstructured environments while gradually reducing dependence on human intervention. By grounding autonomous decision-making in introspective reasoning capabilities, the project addresses a critical gap in translating laboratory-validated autonomous systems to sustained real-world deployment.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $340.4k | 4/30/26 |