Project Grant 2515358
- This National Science Foundation (NSF) project grant award under the Engineering program (CFDA 47.041) will support fundamental research to develop new methods for generating control barrier functions for safety-critical autonomous systems. The $460,632 award to the University of Colorado will fund a 3-year research effort to address the knowledge gap in systematically designing constrained control laws that can provably guarantee safety while maximizing system performance. The research team...
- 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 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...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program awarded a $600,000 Project Grant to the University of California, Berkeley (UC Berkeley) to develop new techniques for autonomous systems to learn effective behaviors while always respecting strict safety constraints. The 3-year project (1/1/2026 - 12/31/2028) will tackle a core challenge in making intelligent machines like self-driving cars and delivery robots reliable and trustworthy by...
- This $316,963 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to enhance the safety and reliability of autonomous vehicles. The project aims to thoroughly examine and improve the controller and machine learning components of autonomous driving systems through a combination of model-based and data-driven approaches. The research will focus on identifying spatial and temporal vulnerabilities that...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) award of $199,369 provides funding from August 1, 2025 to July 31, 2027 for research on enabling efficient, real-time learning of optimal control strategies for complex autonomous systems operating in uncertain environments. The project aims to develop a unified framework that allows autonomous systems to detect, classify, and mitigate disruptions in real-time through game-theoretic modeling and reinforcement learning control...
- The National Science Foundation awarded $199,723 under a Project Grant to San Diego State University Research Foundation for work titled "Towards Safe Aviation Autonomy: A Risk-Bounded Planning Framework for Dynamical Systems under Uncertainties". The two-year award runs from December 2021 through November 2023 under the Engineering program (CFDA 47.041). The Foundation will develop a risk-bounded planning and control framework for autonomous systems operating in uncertain...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $500,000 to Carnegie Mellon University to develop techniques for mitigating various risks in the control of autonomous systems operating in uncertain and interactive environments. The five-year project, awarded on July 1, 2025, aims to: 1) quantify long-term risks despite latent variables and limited data, and 2) develop efficient control techniques that provide long-term assurance...
- 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...
- The National Science Foundation awarded a $400,000 Project Grant to the University of Washington under the Engineering program (CFDA 47.041) to develop data-guided system-theoretic techniques for control of dynamic systems from August 15, 2022 to July 31, 2025. Specifically, the award will support research to extend the current data-guided control paradigm to nonlinear systems and networked systems through novel data-parameterized analysis and synthesis methods. The research will also examine...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Engineering program (CFDA 47.041) to Washington State University (WSU) for a 3-year collaborative research project. The project advances the theory and methods for developing computationally lightweight control algorithms that ensure the safe and reliable operation of autonomous systems in safety-critical applications. The research aims to expand the applicability of Control Barrier Function (CBF) methods to enable autonomous systems to make reliable real-time decisions while operating in complex, rapidly changing environments. This approach can benefit a broad range of industrial uses, including autonomous drone delivery, robotics, manufacturing, transportation, and precision agriculture. The project will establish a rigorous theoretical foundation for parametric CBFs and their onboard implementation to provide computationally efficient solutions for ensuring the safety and reliability of modern autonomous systems.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/18/25 |