Project Grant 2151525
- 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...
- This $300,000 National Science Foundation project grant supports research into distributed optimization-based control of large-scale nonlinear systems with uncertainties from 2022-2025. Funded under the NSF Engineering program (CFDA 47.041), the award to the University of California, San Diego will advance mathematical foundations for distributed optimization algorithms robust to uncertainties. Researchers will design tracking controllers for local systems to follow optimization-derived...
- The University of California, San Diego will receive $603,100 from the National Science Foundation under the Engineering (47.041) federal grant program to develop model-free fixed-time equilibrium-seeking controllers for decision-making tasks in connected autonomous systems. The three-year project aims to advance the design and analysis of optimization algorithms that can solve decision problems in real-time using only current information, without relying on system models. The university will...
- 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...
- The National Science Foundation awarded a $477,423 Project Grant to the University of California, San Diego under the Engineering program (CFDA 47.041) to support research titled "CAREER: NONSMOOTH CONTROL SYSTEMS FOR SOCIETAL NETWORKS WITH DATA-ASSISTED FEEDBACK LOOPS: THEORY AND ALGORITHMS." The research aims to advance the analysis and synthesis of hybrid and non-smooth data-assisted controllers for multi-agent systems deployed over cyber-physical infrastructure. Specific objectives...
- 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 three-year $300,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering (47.041) federal grant program, funds research at New York University to advance the mathematical foundations and develop new tools for real-time distributed optimization-based control of large-scale nonlinear uncertain systems. Specifically, the award supports three research tasks: 1) synthesizing distributed optimization algorithms robust...
- 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...
- This National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems award, CFDA 47.041 Engineering, will provide $193,000 from September 1, 2024 to August 31, 2027 to New York University (NYU) to develop new theories and methodologies for safe reinforcement learning in domains such as robotics, autonomous driving, and power systems. The key products and services to be delivered under this Project Grant include: 1) Formulating safety measures as general objectives...
- This Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to advance the analysis of dynamical systems with fast and slow time-varying signals and parameters, including abrupt changes. The $422,734 award, effective August 1, 2025 through July 31, 2028, aims to develop a novel theoretical framework that combines nonlinear system theory, switched/hybrid systems, and Lyapunov stability techniques. This research is expected to expand...
This three-year, $375,046 project grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will fund research at the University of California, San Diego to advance prescribed-time stabilization and robust safety techniques in control systems engineering applications. The project aims to develop time-varying feedback laws with gains that grow over time to achieve prescribed-time stabilization and prescribed-time safety independent of initial conditions or disturbance size. Specific goals include establishing robustness to measurement noise, designing controllers for stochastic nonlinear systems, and developing disturbance-rejecting controllers to rescue systems to safety within a user-defined time interval. Experimental testing will occur on a 7 degree-of-freedom Baxter robot. The research targets challenges involving higher-relative degree safety constraints, design of safety filters combining backstepping and quadratic programming, and relaxation of the infinite-time safety concept to one of safety over a finite interval.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $375.0k | 8/17/22 |