This $419,577 federal Project Grant award, funded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), aims to develop scalable and reliable coordination capabilities for embodied intelligent networks - collections of distributed autonomous agents that can sense, reason, communicate, and act. The research efforts led by the Regents of the University of Michigan will focus on: Enabling multi-agent networks to self-configure their communication topology to balance the...
This Project Grant from the National Science Foundation Office of Integrative Activities, under the Integrative Activities federal grant program (CFDA 47.083), provides $271,129 to support research at the New Mexico Institute of Mining and Technology to develop a new method for multi-agent control of robotic systems. The research focuses on incorporating density information to optimize transport-based multi-agent exploration and maximize efficiency for applications such as wildlife monitoring,...
This $522,592 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to create a data-driven autonomy framework that enables everyday workers to safely and effectively teach robots. The research will advance the state-of-the-art in dynamical systems and control through three interconnected thrusts: 1) developing a novel framework for data-driven control of complex, hard-to-model systems; 2) introducing methods for teaching robots through...
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) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $149,904 Project Grant to the University of North Carolina at Charlotte under the NSF Engineering (CFDA 47.041) program. The project aims to develop novel algorithms that enable multiple aerial robots to collaboratively build spatial maps of complex urban wind fields and exploit this information to plan safer and more efficient flight paths at building-level altitudes. This research...
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 National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $400,000 Project Grant to The Trustees of Princeton University, Office of Research and Project Administration, under the NSF Computer and Information Science and Engineering (CFDA 47.070) program. This 3-year grant supports collaborative research on developing theories and algorithms for scalable multi-agent planning and control to enable safe and robust autonomous electrical vertical take-off and...
This Project Grant award from the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083) provides $845,377 to Alabama A&M University to develop a framework for controlling and coordinating swarm robotics systems, specifically unmanned aerial vehicles (UAVs). The project aims to bridge the gap between high-level behavioral specifications and real-time operational control of robotic swarms by integrating reinforcement learning and temporal logic. The...
This three-year, $309,811 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The Trustees of the Stevens Institute of Technology to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other mobile robotic technologies against cyberattacks. The research aims to advance a framework for detecting and responding to stealthy attacks that simultaneously target mission planning, control, perception,...
This $315,369 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel learning-based control framework to improve the autonomy and adaptability of heterogeneous drone systems. The project, led by Texas A&M Engineering Experiment Station (Tees), aims to equip drones with the ability to learn from the experiences of other drones, reducing the design, testing, and certification...