Project Grant 2434460
- This $1,500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the University of Southern California's research on safe multi-agent systems using a neurosymbolic approach. The project aims to develop new theories and algorithms for the design of safe learning-enabled multi-agent systems, with applications in areas like wildfire prevention using drone swarms and semi-automated...
- This $500,000 project grant, awarded on January 1, 2024 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to address the urgent need for end-to-end safety in learning-enabled autonomous systems across various application scenarios, such as self-driving cars and urban air mobility. The project, titled "COLLABORATIVE RESEARCH: SLES: GUARANTEED TUBES FOR SAFE LEARNING ACROSS AUTONOMY ARCHITECTURES,"...
- 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 (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 $270,913 federal Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program, supports research to develop qualitative and quantitative methodologies for assessing the safety of learning-enabled autonomous systems. The project, led by the Augusta University Research Institute, Inc. (AURI), will target foundational challenges in capturing uncertainties from environments and providing timely, comprehensive, and...
- 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 federal Project Grant award of $800,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting research to develop methods for certifying the safety of autonomous systems that use deep learning-enabled perception, prediction, and control components. The key goals of the project are: (1) to develop techniques for learning safety certificates and control policies for these types of learning-enabled autonomous...
- This $800,000 Project Grant award to The Trustees of Princeton University, Department of Research and Project Administration, was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award aims to develop new techniques for constructing a vision-based safety supervisor that can endow autonomous robotic systems, such as self-driving cars and home robots, with the safety property of "graceful degradation."...
- This National Science Foundation (NSF) grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,200,000 to The Washington University to develop new theoretical and algorithmic capabilities for ensuring the robust and safe deployment of AI-enabled cyber-physical systems (CPS). Specifically, the project aims to design certification, verification, and robust training algorithms for multi-agent reinforcement learning (MARL) control policies. This will...
- 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 $1,200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of novel algorithms and computational frameworks to enable safe and reliable deployment of AI-driven autonomous systems. The project at the University of Southern California (USC) aims to design algorithms that use representation learning to summarize high-dimensional sensor data, such as from cameras and LiDAR, into compact latent representations equipped with high-probability confidence sets. This will help overcome the computational barriers that arise in decision-making for cyber-physical systems operating under partial information. The project also addresses the distribution shift challenges that can occur when incorporating learned components into feedback control loops. By developing these algorithmic frameworks with rigorous risk quantification and control, the project marks a significant step toward the scalable, safe, and reliable deployment of autonomous AI systems in high-impact applications like search and rescue, natural disaster prevention, and personalized robotics. The award period runs from August 1, 2025, to July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.2m | 7/18/25 |