Project Grant 2410019

Award Date 9/1/24
Completion Date 8/31/27
Dollars Obligated $50K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Newark, DE 19716, USA
Similar Awards
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 $174,660 National Science Foundation project grant supports research at the Rochester Institute of Technology to develop full automation capabilities for bird-sized unmanned aerial vehicles operating in unknown, cluttered indoor environments using only an RGB-D camera for visual perception. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education across computing and information sciences, this...
This National Science Foundation project grant of $250,000 will fund research at the University of Southern California to develop a proof-of-concept prototype for an immersive and interactive three-dimensional display using swarms of flying light specks (FLS). The prototype will investigate techniques and algorithms to enable synchronized swarms of micro-drone FLS to render objects in a specified 3D volume that a user can touch and manipulate. Known as FLS-Matter, the project will create 2D...
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...
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 $400,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is aimed at developing an innovative artificial compound eye system capable of advanced in-situ object tracking and depth perception. The project will integrate a novel photodiode-based hardware design, inspired by the hemispherical structure of arthropod eyes, to enable a wide field of view and rapid image acquisition. To efficiently process the high-dimensional visual data,...
This $300,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports a collaborative research project between Florida International University (FIU), Auburn University, the Indian Institute of Technology Kanpur, and the International Institute of Information Technology Naya Raipur. The project aims to develop deep learning-based localization and sensing capabilities for unmanned aerial vehicle (UAV)...
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 National Science Foundation (NSF) Engineering program (CFDA 47.041) project grant award of $607,855, with a period of performance from June 1, 2025 to May 31, 2030, supports research at the University of Massachusetts Lowell aimed at transforming structural health monitoring of critical infrastructure through the development of new methods to measure three-dimensional structural vibrations using aerial stereovision techniques. The research intends to enable detailed and remote assessments...
This $274,354 National Science Foundation project grant funds research at the University of Nevada, Reno to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other autonomous systems against cyberattacks. The grant is part of the NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research. Specifically, the research aims to advance an observability analysis framework for detecting and responding to stealthy...

ULTRAFAST VISUAL-INERTIAL 3D PERCEPTION FOR MICRO AERIAL VEHICLES -TO IMPROVE THE BEHAVIOR OF MICRO AERIAL VEHICLES (MAVS), ALSO KNOWN AS DRONES, THIS PROJECT AIMS TO DEVELOP ULTRA-FAST, ENERGY-EFFICIENT, HIGH-ACCURACY SENSORS FOR DETECTING THE POSITION OF THE MAV IN SPACE. MAVS EQUIPPED WITH CAMERAS AND INERTIAL MEASUREMENT UNITS HOLD IMMENSE POTENTIAL ACROSS DIFFERENT INDUSTRIES BUT FACE CHALLENGES IN ACHIEVING ROBUST AND EFFICIENT 3D PERCEPTION WITHIN THE CONSTRAINTS OF SIZE, WEIGHT, AND POWER. TO ADDRESS THESE LIMITATIONS, THE PROJECT FOCUSES ON ULTRA-EFFICIENT 3D MOTION TRACKING AND VISUAL UNDERSTANDING BY DESIGNING METHODS FOR POSITION ESTIMATION THAT OPTIMIZE DATA TRANSFER AND MINIMIZE POWER CONSUMPTION, AS WELL AS GRAVITY-AWARE PERCEPTION INSPIRED BY THE NEURAL COMPUTATION PERFORMED BY THE INNER EAR BALANCING SYSTEM IN PEOPLE AND ANIMALS. THE PROJECT?S CO-DESIGN OF CONTROL ALGORITHMS AND DRONE HARDWARE AIMS TO ENHANCE ENERGY EFFICIENCY AND PERCEPTION PERFORMANCE, WHICH WILL BE EVALUATED IN COLLABORATION WITH INDUSTRY PARTNERS. WITH COMMERCIAL MAV USE GROWING RAPIDLY IN SECTORS LIKE AGRICULTURE, CONSTRUCTION, INSURANCE, AND LAW ENFORCEMENT, THIS PROJECT WILL DRIVE WIDESPREAD DEPLOYMENT AND ECONOMIC GROWTH. MOREOVER, IT WILL OFFER RESEARCH OPPORTUNITIES FOR DIVERSE STUDENTS AT THE UNIVERSITY OF DELAWARE AND PROMOTE STEM EDUCATION THROUGH HANDS-ON PROGRAMMING ACTIVITIES FOR K-12 STUDENTS, FAMILIES, AND TEACHERS. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.

Posted 8/26/24, 12:00 AM