Project Grant 2443349

Award Date 6/15/25
Completion Date 5/31/30
Dollars Obligated $505K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Charlotte, NC 28223, USA
Similar Awards
This National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant, awarded on February 15, 2025, provides $425,225 to the University of Maryland, College Park to support research on the "Foundations of Dynamic Multi-Agent Learning Under Information Constraints". The project aims to advance the theoretical foundations of multi-agent learning in dynamic environments with partial observability and information constraints. Key research thrusts include formalizing...
This National Science Foundation (NSF) project grant, awarded under the NSF Engineering (CFDA 47.041) program, provides $297,881 to support research advancing the theory and algorithms for distribution control. The project focuses on three key challenges: addressing nonlinearity in agent dynamics, accounting for interactions among agents, and ensuring robustness of control policies. The research aims to enable precise control of large populations of autonomous agents, such as robotic or...
This $517,612 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to develop new foundations for scalable and resilient distributed reinforcement learning in open multi-agent systems. The overarching goal is to design new learning and control methods that enable autonomous agents to interact effectively, adapt to time-varying environments, and be resilient to failures and adversaries. The central approach is to leverage...
This $419,577 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research by the Regents of the University of Michigan to develop scalable and reliable coordination algorithms for embodied intelligent networks. The research aims to enable multi-agent networks to self-configure their communication topology, adapt online to unpredictable environments, and leverage external commands while managing risks. The proposed combinatorial optimization...
This $994,988 National Science Foundation project grant through the Engineering program (CFDA 47.041) will fund research at the University of New Mexico from May 1, 2023 through April 30, 2028. The research aims to develop an algorithmic framework for integrating knowledge of human perception and reasoning about uncertainty into the design and control of autonomous dynamical systems. New mathematical theory and computational algorithms will be created based on control theory, machine learning,...
This National Science Foundation project grant of $199,712 will fund research at the University of North Carolina at Charlotte from July 2022 to June 2025 related to mechanical communication for multi-agent systems. The research focuses on how individual agents within biological systems like schools of fish or colonies of bacteria trade off between locomotion and information exchange through their surrounding medium. The project will analyze this question theoretically and through benchtop...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to North Carolina State University (NC State) to study the integration of aerial network elements (ANEs) such as drones and unmanned aerial vehicles into existing terrestrial wireless networks. The 3-year project, titled "NETS: SMALL: COLLABORATIVE RESEARCH: NSF-NSERC: 3D HARMONY: ARTIFICIAL INTELLIGENCE ENABLED HARMONIOUS WIRELESS...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $217,276 project grant to The University of North Carolina at Charlotte to support research titled "COLLABORATIVE RESEARCH: LEARNING-BASED SCALABLE PREDICTIVE CONTROL STRATEGIES FOR HETEROGENEOUS TRAFFIC NETWORKS." The two-year project beginning January 1, 2022 falls under the NSF Engineering Program (CFDA #47.041), which aims to improve quality of life and economic strength through...
This $313,839 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at Iowa State University of Science and Technology to advance the theory and algorithms for distribution control. The research aims to enable precision manufacturing of materials with desired properties and coordination of large collections of autonomous agents, such as robotic or biological swarms. Key focus areas include addressing challenges related to...
This $280,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will support the development of new theory and methods to address network-level uncertainty in the control of large-scale networked systems. The research will integrate random graph theory, particularly graphon theory, with structural system theory to model and understand uncertainty in the communication topology of multi-agent control systems. The key goals are to (1) formulate new...

This $504,913 National Science Foundation (NSF) Engineering program (CFDA 47.041) project grant, awarded on June 15, 2025, supports research at the University of North Carolina at Charlotte on networked multi-agent systems. The research aims to develop a principled control-communication theory that addresses the challenges of designing communication service-aware controllers and control-aware communication service allocations for applications such as drone fleets, connected autonomous vehicles, and smart power grids. The project seeks to enable optimal decision-making across the agent and network levels, including developing risk-aware controller synthesis frameworks to address environmental uncertainties. The research findings are expected to enhance coordination, cooperation, information exchange, and resource utilization in these networked multi-agent systems.

Generated 7/1/25, 4:15 AM