Project Grant 2434818
- This Project Grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $305,000 to develop an acousto-optic beam steering (AOBS) technology for light detection and ranging (LIDAR) systems. The goal is to create a compact, cost-effective, and high-performance beam steering mechanism to enhance LIDAR capabilities for applications like autonomous vehicles, robotics, and smart city infrastructure. The work focuses...
- This $600,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA #47.070) program supports research at Boston University to develop new capabilities for long-wave infrared (LWIR) sensing. The project aims to formulate and solve inverse problems in radiative transport to enable advanced 3D imaging, remote air composition and temperature sensing, which could contribute to improved security, navigation, pollution monitoring, and...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $202,082 to support a research project at Boston University that introduces a novel approach for robots to navigate unknown environments. The key technical aspects include: Developing compact, interpretable representations of the environment using structured elements extracted from sensor measurements and optimized over time. Synthesizing local and global...
- This Project Grant award of $599,945 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will fund research to develop a 3D computer vision framework that fuses multiple sensing modalities, including RGB cameras, depth sensors, LiDAR, and event cameras. The goal is to enhance feature extraction, tracking, and large-scale scene reconstruction, improving perception accuracy and adaptability in unstructured environments. This research...
- This $1,200,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to the University of Illinois to establish millimeter wave (mmWave) radar as a first-class perception and control tool for small autonomous robots and drones. The project aims to develop new radar-based localization, mapping, and semantic scene understanding capabilities that can operate on the limited onboard compute of small robots...
- This $550,199 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop specialized modeling, training, and adaptation techniques to ensure the safety and performance of vision-based autonomous systems subject to visual shifts, such as sun glares and seasonal changes. The project will leverage information-theoretic and statistical techniques to establish a robust framework for probabilistic verification and control synthesis, providing...
- This $458,725 federal Project Grant award was provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to the University of California, Irvine (UCI) to address critical challenges in modern radar systems. The project aims to design scalable, fully integrated radar transceivers operating at millimeter-wave and near terahertz frequencies to enable transformative applications such as safer autonomous systems, real-time security monitoring, precise environmental...
- This $360,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to advance dual-function radar-communication (DFRC) technology for high-mobility applications. The project aims to develop a novel MIMO (multiple-input, multiple-output) ISAC (integrated sensing and communication) system that can efficiently allocate spectral resources to enable high-speed communication and high-resolution sensing in dynamic, high-mobility scenarios. Key...
- This $1,136,746 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is funding Northeastern University to co-develop a one-shot petaops/W analog margin-propagation compute paradigm that advances RF-MIMO radar processing and classification. The project aims to reimagine the boundary between analog and digital signal processing, enabling low-power and ADC-free architectures for large-scale MIMO radar...
- This $663,275 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to develop novel visual perception, localization, mapping, and planning algorithms for advanced space robotics capabilities. The research aims to enable new capabilities for future space missions such as satellite failure mitigation, large flexible structure assembly, orbital debris removal, inspection, and hardware upgrades. The three-year grant, awarded to the...
This $240,000 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to improve the performance and lower the complexity of frequency-modulated continuous-wave (FMCW) LIDAR technology. The project aims to develop new algorithms and concepts that can enhance the capabilities of FMCW LIDAR while reducing hardware requirements. The improved FMCW LIDAR could contribute to enhanced safety and lower costs for robots and autonomous vehicles that rely on 3D mapping for navigation. The award was granted to the Trustees of Boston University, a private non-profit research university, to conduct this fundamental engineering research over a period of 3 years from October 2025 to September 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $240.0k | 8/18/25 |