Project Grant 2529207
- This $411,578 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will enable the University of South Florida to conduct collaborative research on enabling robots with adaptive, projector-based augmented reality (AR) capabilities in dynamic environments. The research explores using projected AR to allow robots to communicate more effectively with people in unstructured settings like search and rescue, concert...
- This Project Grant award for $484,980.00 from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research on developing "intelligent augmented reality (AR)" systems that can automatically adapt their user interfaces based on real-time contextual information. The award was made to Virginia Polytechnic Institute & State University, with the project running from October 1, 2025 through September 30, 2028. The research aims...
- This federal Project Grant award of $350,000, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports collaborative research to enable advanced outdoor augmented reality (AR) applications. The key products to be developed include techniques for modeling the environment, determining human pose, and modeling virtual object interaction with the physical environment. This will enable the creation of AR applications...
- This federal Project Grant award of $377,674 from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will support research by the Rector & Visitors of the University of Virginia to enhance adaptability in multimodal human-robot interaction. The project aims to develop advanced algorithms to better understand human intentions using multimodal data such as verbal messages, gestures, and eye movements. It will also create new learning and...
- This $323,961 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of innovative techniques to automate the testing of augmented reality (AR) applications. The 3-year project, starting on February 1, 2025, aims to create an infrastructure that applies existing automatic graphics user interface (GUI) testing methods to AR apps. The key goals are to (1) automate the construction of...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $599,969 to San Jose State University Research Foundation to demonstrate the use of mixed reality and edge computing in human-robot interaction and collaboration. The key objectives are to: Develop immersive, context-aware experiences to study the psychological and ethical impacts of human-robot interaction using mixed reality simulations....
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program Project Grant, awarded to Duke University, aims to develop more robust object detection methods and augmented reality (AR) techniques to enhance the reliability of AR applications in real-world settings. The $599,817 award, granted on November 1, 2023, will enable the project team to: 1) design and develop a robust AR object detection framework to enhance the reliability of AR object detectors;...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at Carnegie Mellon University (CMU) to develop simulation tools and control methods that enable robots to reliably navigate and manipulate complex environments. The $600,000 award, running from October 1, 2025 to September 30, 2030, focuses on two key technical goals: 1) creating multi-physics simulation capabilities for emerging applications like space and underwater...
- 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 National Science Foundation Project Grant award of $549,995 supports research and education activities at the University of Texas at Austin from April 1, 2022 through March 31, 2027. The award is funded through the Computer and Information Science and Engineering program (CFDA 47.070) to enable intelligent robot manipulation in real-world tasks. Specifically, the award will advance the development of new algorithms and tools for intelligent robot manipulation outside controlled research...
This federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $325,437 to support research on enabling robots with adaptive projector-based augmented reality (AR) in dynamic environments. The research, led by Stony Brook University, explores how robots can communicate with people by projecting images or messages onto non-flat surfaces in unstructured settings like search and rescue operations, concert halls, and homes. The project uses computer vision techniques to sense the environment's geometry, photometry, and semantics, allowing the robot to adaptively project visualizations that people can easily understand. This research is expected to advance human-robot interaction, projected-AR, computer vision, and AI capabilities. The award period runs from September 1, 2025 through August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $325.4k | 8/18/25 |