Project Grant 2502857
- This Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) provides $300,000 in funding to the Regents of the University of Michigan to advance the theory and methods underlying the development of computationally lightweight control algorithms that ensure the safe and reliable operation of autonomous systems in safety-critical applications. The project aims to expand the applicability of control barrier functions (CBFs) through the development of a novel class of...
- This federal Project Grant award for $563,370.00 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award will support a collaborative research project between the Washington University in University City, Missouri and industry partners to develop robust, real-time scheduling techniques and control algorithms for safe and reliable operation of cyber-physical systems, such as autonomous vehicles and...
- This $500,000 Project Grant was awarded on May 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the Regents of the University of Michigan. The project, titled "CPS: SMALL: LIFTED HYBRIDIZATION: A NEW REPRESENTATION FOR EFFICIENT CONTROL AND VERIFICATION OF CYBER-PHYSICAL SYSTEMS", seeks to develop new theories, algorithms, and tools to enable more effective and robust control of...
- The National Science Foundation (NSF) awarded a $211,348 Project Grant under the Computer and Information Science and Engineering (CISE) federal grant program to Washington State University (WSU) for the collaborative research project "Robust to Early Termination Optimization for Safe and Reliable Control of High Performance Cyber-Physical Systems." The project aims to develop new control algorithms and real-time scheduling techniques to address computational constraints and variations...
- This $200,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program aims to advance artificial intelligence (AI)-driven research for autonomous vehicle-enabled transportation services. The grant supports the planning and design of an "AI-Ready SmartSenseAI Lab" testbed at the University of Michigan. This expanded testbed will enable a comprehensive, ecosystem-level exploration of autonomous vehicle...
- This $400,000 Project Grant was awarded on August 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant is funding collaborative research by the University of Southern California (USC) to develop a scalable framework for high-assurance design of safety-critical and mission-critical cooperative autonomous agents, such as warehouse robots, delivery robots, drones, and self-driving...
- This $315,000 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of new methods to robustly analyze and control large-scale networked systems with uncertain and variable delays. Specifically, the project will combine integral quadratic constraint and partial integral equation frameworks to enable accurate modeling and control of nonlinear systems with known and uncertain delay components. This work has direct applications...
- This Project Grant award, valued at $200,000.00 and awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop a scalable framework for achieving robust and assured performance of autonomous agents, such as warehouse robots, delivery robots, drones, and robo-taxis, in real-world environments. The research will integrate formal methods, reinforcement learning, and multi-agent control theory to address critical...
- This $272,238 Project Grant, awarded on July 15, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to enhance the safety and reliability of autonomous vehicles. The project aims to identify vulnerabilities in the software and machine learning components of autonomous vehicle systems, and develop mitigation techniques to improve their overall resilience. The research will combine model-based and...
- This $120,000 Project Grant was awarded on July 1, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Regents of the University of California at Riverside (UC Riverside). The funding will support a collaborative research project focused on enhancing the safety and reliability of autonomous driving systems through the development of advanced detection and countermeasure techniques at the application, system, and...
This $225,000 Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the Regents of the University of Michigan. The grant supports research focused on developing robust and reliable control algorithms and real-time scheduling techniques for cyber-physical systems, such as autonomous vehicles and delivery drones. Key objectives include designing optimization-based control algorithms that are resilient to early task termination, as well as implementing proactive and safe real-time scheduling frameworks to adapt to changing computational demands. The research will involve close collaboration with industry partners to apply these techniques to automated drone delivery systems, providing valuable educational opportunities for engineering students. The award period runs from August 1, 2025 through July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $225.0k | 7/19/25 |