Project Grant 2531557
- 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 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research by the New Mexico Institute of Mining and Technology (New Mexico Tech) to develop a sustainable vertiport system and autonomous drone swarm for methane emission monitoring over orphaned oil and gas wells. The $149,999 grant will fund three technical objectives: (1) a low-cost, portable, and sustainable vertiport to enable precision...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) will provide $150,000 to Wright State University to advance fundamental knowledge in intelligent and sustainable air-ground collaborative systems. The project aims to develop a unified framework that enables seamless collaboration between aerial drones and ground vehicles through efficient data handling, enhanced scene understanding, and adaptive mission planning. Key...
- This $1.5 million Project Grant from the National Science Foundation Office of International Science and Engineering, under the CFDA 47.079 Office of International Science and Engineering program, funds research and education activities focused on building decarbonization through artificial intelligence-empowered district heat pump systems. Specifically, the awardee Texas A&M Engineering Experiment Station and sub-awardees Temple University, Arizona State University, and Drexel University...
- 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...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $350,000.00 to the University of Illinois to develop a hybrid aerial-hexapod robotic platform for autonomous roof inspection. The project aims to address safety, efficiency, and cost challenges in the roof inspection industry by equipping aerial robots with legged mobility and advanced perception capabilities. The resulting robot will be able to seamlessly switch between flight and...
- 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 $600,000 Project Grant awarded by the National Science Foundation (NSF) Division of Computing and Communication Foundations will fund the development of an innovative aerial imaging system that incorporates state-of-the-art artificial intelligence (AI) for real-time data processing and analysis. The project, titled "CISE-MSI:DP:REAL-TIME AERIAL IMAGING WITH EDGE AI," is a collaboration between students and faculty at Norfolk State University (NSU), a minority-serving institution...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $274,636 to Rensselaer Polytechnic Institute (RPI) to conduct research on developing energy-efficient and scalable artificial intelligence (AI) systems. The key objectives are to: 1) leverage dynamic connectivity in AI models to reduce redundancy and energy consumption, 2) explore heterogeneous architectures integrating approximate,...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) award of $300,000 will fund an "EAGER: TASKDCL: DRONEVISION, A PHYSICS-BASED ENVIRONMENT USING FLYING LIGHT SPECKS" project at the University of Southern California (USC). The project aims to develop a novel "physics-based environment called DRONEVISION that will enable its users to see illuminated objects with their naked eyes and to have haptic interactions with them using their bare hands." It will...
This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $150,000 to the University of Alabama to develop an advanced autonomous drone system equipped with thermal imaging and artificial intelligence (AI) capabilities. The goal is to quickly and accurately detect energy loss in residential building envelopes, integrating the drone system with a digital twin (DT) model to visualize and plan energy retrofitting strategies. Through interdisciplinary collaboration in building science, robotics, AI, and DT, the project aims to transform weatherization practices and promote energy retrofitting in U.S. households. The award period is from August 1, 2025 to July 31, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 7/30/25 |