Project Grant 2513060
- This $320,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research project to advance cyber-physical systems for enabling unmanned aerial vehicles (UAVs) to physically interact with moving objects in mid-air. The research will develop: 1) physics-informed modeling to improve UAV flight dynamics prediction, 2) safety-assured motion planning for collision-free trajectories in dynamic...
- This federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, with CFDA number 47.070, provides $453,372 to Syracuse University to develop autonomous operations of multi-UAV uncrewed aerial systems (UAS) for monitoring and tracking natural disaster events like wildfires and flooding. The key research goals are to design and implement robust motion estimation and control schemes that enable a team of UAVs to...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $599,961 to the University of Massachusetts to develop a new framework called AERIAL (AI-Embedded Responsive Intelligent Agents with Trajectory-Induced Digital Twin Learning). The project aims to improve the safety, speed, and efficiency of drone missions that support public safety and national resilience. The research will introduce a new AI-driven...
- This $200,000 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop innovative biomimetic swarm-based remote sensing technology for environmental monitoring in inaccessible areas. The researchers are designing a system inspired by dandelion seed dispersal that uses lightweight sensors with pappus-like structures to be deployed by unmanned aerial vehicles (UAVs) and harness wind...
- 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...
- 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...
- The National Science Foundation (NSF) awarded a $477,845 Project Grant under the Engineering program (CFDA 47.041) to the University of Wisconsin System to support research on enhancing the operation of autonomous vehicle (AV) swarms in diverse traffic environments. The key objectives are to: 1) examine the "tragedy of the commons" phenomenon where AVs may cause traffic disruption despite individual AV performance, and 2) incorporate "emergent cooperative behavior" like human...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $199,999 to develop a novel biomimetic swarm-based remote sensing system for environmental monitoring in hard-to-reach areas. The researchers at the New Mexico Institute of Mining and Technology (New Mexico Tech) aim to create a swarm of tiny, lightweight sensors inspired by the natural design of dandelion seeds that can be deployed by...
- The National Science Foundation Division of Computer and Network Systems awarded a $313,000 Project Grant to the New Jersey Institute of Technology from October 1, 2021 to September 30, 2023. The grant supports the collaborative research project "ROBUST AIRBORNE WIRELESS EDGE COMPUTING NETWORK USING SWARMING UAVS" under the Computer and Information Science and Engineering program (CFDA #47.070). The research aims to develop a robust airborne wireless edge computing network using...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $433,114 Project Grant to the University of California, Irvine (UCI) to develop practical distributed algorithms for optimal resource allocation in intelligent systems. The 3-year project from October 1, 2025 to September 30, 2028 aims to advance the theory and practice of distributed submodular maximization under partition matroid constraints, addressing limitations in current centralized optimization methods....
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $300,000.00 to the University of California, Irvine (UCI) to develop a general mathematical framework for optimizing the trajectory of uncrewed aerial vehicle (UAV) swarms operating in sensor networks. The project aims to address key challenges in UAV trajectory optimization, including UAV dynamics, energy efficiency, heterogeneity, 3D sensing, collision and inaccessible region avoidance, and communication network connectivity. The project seeks to create a comprehensive solution that can enable more efficient and timely data collection from UAV-based sensing in various applications such as agriculture, environmental monitoring, disaster response, and infrastructure inspection. The award is effective from October 1, 2025 through September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/20/25 |