Project Grant 2443487
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to address critical vulnerabilities in remotely controlled robotic systems. The $691,375 award, with a performance period from September 1, 2025 to August 31, 2028, will fund a comprehensive study of a sophisticated class of cyber attacks known as affine transformation-based false data injection attacks. The research aims to advance fundamental knowledge in robotic...
- The University of Texas at Dallas received a $399,158 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program. The grant, awarded on September 1, 2025, with an ultimate completion date of August 31, 2028, supports research to develop a new learning framework that allows robots to understand and imitate object-based manipulation tasks. The project explores how to make robots easier to use by teaching them to learn from observing...
- This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to characterize the vulnerabilities of learning-based controllers in networked cyber-physical systems (CPS). The $149,985 award will enable the University of Alabama in Huntsville (UAH) to develop real-time reward manipulation schemes, multi-level attack strategies, and data-enabled detection methods to...
- 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 three-year, $309,811 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The Trustees of the Stevens Institute of Technology to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other mobile robotic technologies against cyberattacks. The research aims to advance a framework for detecting and responding to stealthy attacks that simultaneously target mission planning, control, perception,...
- This National Science Foundation Project Grant of $175,000 supports research at Wichita State University from June 2022 through January 2023 under the Computer and Information Science and Engineering program. The university will develop techniques to integrate security monitoring and detection mechanisms into real-time multicoored systems design. Specifically, the researchers will devise algorithms, scheduling models, and frameworks cognizant of real-time requirements; build design tools and...
- This $230,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Connecticut focused on creating a novel computational paradigm called "SMART-RECOVER" to establish resilience against stealthy cyberphysical attacks on digital manufacturing systems. The key research objectives include: (1) pre-fabrication reconstruction of digital geometric models altered by attacks, (2) in-process remodification of...
- This federal Project Grant award of $427,891 from the National Science Foundation's Computer and Information Science and Engineering (CISE) program will support research to develop a novel "RESONET" architecture for resilient and secure operation of networked real-time systems. The research will focus on three key areas: 1) establishing foundational cross-system fault tolerance principles to ensure coordinated operations meet timeliness requirements even with component failures; 2)...
- The National Science Foundation Division of Information and Intelligent Systems awarded a $545,980 Project Grant to Princeton University from August 1, 2021 through July 31, 2026 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research at Princeton University to develop generalization and safety guarantees for learning-based control of robots. The Computer and Information Science and Engineering program supports investigator-initiated research...
- The National Science Foundation (NSF) awarded a $550,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the Rector & Visitors of the University of Virginia (University of Virginia) to conduct research on developing methods to improve the safety and reliability of robotic and autonomous systems (RAS) operating in complex real-world environments. The key objectives of the 3-year project are to: 1) create techniques to extract...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a research project titled "A Cross-Domain Approach to Improving the Attack Resilience of Robotic Systems" at the University of Texas at Dallas (UTD). The $309,669 award, effective from August 1, 2025 to July 31, 2030, aims to develop a comprehensive security framework that models and protects the complex interdependencies between computational and physical components in robotic systems. The project will employ advanced vulnerability analysis, real-time attack mitigation, and post-attack forensic investigation techniques to enhance the safety and trustworthiness of robotics in critical sectors such as manufacturing, healthcare, agriculture, and defense. This cross-domain security research is expected to advance cybersecurity education and broaden participation in computing through outreach and hands-on learning initiatives.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $309.7k | 7/16/25 |