Project Grant 2448886
- 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 federal Project Grant award of $121,064.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a performance period from July 1, 2025 to March 31, 2027, supports research at the University of California, Berkeley to develop a new paradigm for agile autonomous robot navigation in complex environments. The key objectives of this award are to create a novel, low-latency, robust, adaptive, safe, and resilient perception-action...
- 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 $375,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The goal of the project is to develop tools and methods to help ensure the safe operation of autonomous systems that utilize reinforcement learning (RL) algorithms. Key activities include: 1) developing inverse RL algorithms to learn an agent's reward function from demonstrations, 2) exploring the agent's norms to...
- This $300,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund research by the Regents of the University of California at Riverside (UC Riverside) to develop trustworthy and resilient coordination mechanisms for multi-agent systems. The project aims to enable autonomous systems like drones, vehicles, robots, and smart infrastructure to reliably work together, even when facing uncertainty, failure, or...
- This $519,563 federal Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund research to develop new mathematical tools and algorithms that enable large groups of autonomous agents, such as drones and ground robots, to operate safely, efficiently, and collaboratively. The central focus is on modeling these multi-agent systems as evolving spatial distributions rather than individually, enabling the design of scalable and practical algorithms...
- 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 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $375,000 to the University of Massachusetts to conduct research on aligning the norms of autonomous robots with human values. The key activities include: Developing inverse reinforcement learning algorithms to learn reward functions from demonstrations constrained by deontic logic. Systematically exploring the trained agent's...
- 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 $232,159 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research at Carnegie Mellon University to optimize environments for large-scale multi-agent coordination. The key objectives are to (1) establish a foundational understanding of environment optimization for multi-agent coordination, and (2) develop innovative environment designs tailored for large-scale multi-agent applications like...
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 challenges in enabling these autonomous agents to reliably obey operational rules, maintain safety, and coordinate effectively in complex, partially observable environments. The project, conducted by the University of California, Berkeley, has an award period from August 1, 2025 to July 31, 2028, and the research outputs have the potential to significantly impact the development of safety-critical and mission-critical autonomous systems across transportation, robotics, and smart manufacturing applications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/31/25 |