Project Grant 2523640
- The National Science Foundation (NSF) has awarded a $519,563 Project Grant to the University of California, San Diego (UCSD) under the Engineering program (CFDA 47.041) to develop new algorithms and tools for the coordinated control of large-scale, heterogeneous multi-agent systems such as drones, ground robots, and mobile autonomous platforms. The research aims to create scalable, distributed optimization techniques that can guide the collective behavior of many agents while accounting for...
- This Project Grant award of $300,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support collaborative research to develop trustworthy and resilient coordination mechanisms for multi-agent systems (CFDA 47.070). The project aims to revolutionize multi-agent systems (MAS) by creating intelligent coordination algorithms capable of maintaining performance and safety, even in the presence of uncertainty, failure, or conflict....
- 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 $599,961 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of a new framework called AERIAL (AI-Embedded Responsive Intelligent Agents with Trajectory-Induced Digital Twin Learning). The goal is to enable drones and robots to collaborate intelligently by combining advanced mathematics with artificial intelligence. Key aspects include: 1) developing the...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $200,000 to develop a scalable framework for high-assurance design of safety-critical and mission-critical cooperative, interacting autonomous agents. The research aims to address key challenges in enabling robust performance of autonomous systems like warehouse robots, delivery robots, drones, and self-driving cars in the real world. It will leverage...
- The National Science Foundation (NSF) awarded a $398,990 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Irvine (UCI). The grant, awarded on August 1, 2025, supports a research project that explores fundamental principles underlying how groups of intelligent agents interact and learn within shared environments. The project aims to develop a robust theoretical framework for analyzing learning processes in multi-agent...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research on timely, efficient, and risk-aware control and communication policies for networked multi-agent systems (NMS), such as fleets of drones, connected autonomous vehicles, and smart power grids. The $504,913 award to the University of North Carolina at Charlotte aims to develop optimal control-communication theory to guide decision-making for both NMS agents and network managers. The...
- This $300,000 Project Grant was awarded by the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports a collaborative research project between California State University San Marcos (CSUSM), a Hispanic Serving Institution, and other partners to develop an integrated and extensible platform for investigating security vulnerabilities and countermeasures in the emerging paradigm of...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $225,000 to the Regents of the University of Michigan to develop robust control algorithms and real-time scheduling techniques for cyber-physical systems (CPS), such as autonomous vehicles and delivery drones. The research aims to address challenges in integrating computation and physical systems by co-designing control algorithms that are...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $400,000 in funding to the University of Southern California (USC) from August 1, 2025 to July 31, 2028. The objective of this research project is to develop a scalable framework for achieving assured robust performance of autonomous agents, such as warehouse robots, delivery robots, drones, and robo-taxis, in real-world environments. The research aims to...
This $300,000 Project Grant was awarded 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. The grant aims to develop intelligent coordination mechanisms for multi-agent systems, such as drones, vehicles, robots, and smart infrastructure, to enable trustworthy, resilient, and adaptive behavior even in the presence of uncertainty, failure, or conflict. The key research efforts focus on: (1) designing algorithms to detect and mitigate abnormal behaviors in cooperating agents, (2) managing adversarial or non-cooperative agents using game-theoretic and adversarial machine learning methods, and (3) enabling resilient coordination among diverse agents through robust distributed control frameworks. The expected outcomes will lay the groundwork for building autonomous systems that can be confidently deployed in complex, real-world scenarios, with applications in transportation, disaster response, and smart infrastructure. The award period is from October 1, 2025 to September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/19/25 |