Project Grant 2516439
- 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 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support $300,000 in research towards the development of millimeter-scale flying robots capable of controlled operation without a physical connection for power or data. The project aims to create robots powered and controlled remotely by a single-axis alternating magnetic field, with careful design of the flying structures to provide passive aerodynamic and gyroscopic stability. The...
- 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 $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) 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 federal Project Grant award of $200,000 from the National Science Foundation (NSF) 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 hard-to-reach areas. The project, led by the University of New Mexico, focuses on creating a swarm of lightweight sensors inspired by the natural dispersal mechanism of dandelion seeds. These sensors will utilize wind currents...
- This $900,000 National Science Foundation Project Grant supports research towards developing the first swarm of 10,000 electronically controlled, programmable robots no larger than a few hundred microns. Funded through the Engineering (47.041) program, this three-year award to The Trustees of the University of Pennsylvania aims to significantly advance microrobotics by shrinking robot size tenfold and increasing swarm size ten times over the current state of the art. Key innovations include...
- This National Science Foundation (NSF) project grant under the Engineering program (CFDA 47.041) aims to develop the world's smallest functional bipedal robot, multi-legged robot, and wheeled robot, each approximately 100 times smaller than the current state-of-the-art. The $854,461 award to Carnegie Mellon University, spanning from September 1, 2024 to August 31, 2027, will establish scaling laws to understand how actuation, joint losses, and contact properties change at smaller scales. This...
- This federal Project Grant award of $350,000 from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of a hybrid aerial-hexapod robot for autonomous roof inspection. The primary goals of this 3-year collaborative research project are to: 1) develop an integrated robot platform with dual-mode mobility (flight and legged) and multimodal perception capabilities; and 2) design algorithms to interpret sensory data for autonomous navigation and anomaly...
- This EAGER (Early-concept Grants for Exploratory Research) project grant, awarded by the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under CFDA Program 47.041 (Engineering), will provide $300,000 to the University of Illinois to conduct research on enabling quadrotor robots to safely interact with and assist humans through customized, user-taught functionalities. The research effort aims to develop a framework that allows anyone to safely...
This Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will provide $704,908 to support fundamental research to enable aerial robots smaller than 100 millimeters and weighing less than 100 grams to navigate through cluttered surroundings in the presence of smoke, darkness, dust, fog, and snow. The research will focus on developing sound-based sensing capabilities for these small aerial robots, as traditional vision-based systems struggle in visually degraded environments. Key outcomes will include advances in mathematical modeling, neural network design, and sensor characterization to improve the quality of sound-based images without exceeding size, weight, and power constraints. This research is expected to result in inexpensive and easily transported drones with the potential to save lives in various disaster response scenarios, while also contributing to the advancement of robotics, AI, sensor fusion, and signal processing research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $704.9k | 8/20/25 |