Cooperative Agreement W911NF1420044

This National Science Foundation project grant of $235,898 supports collaborative research on human-automation interaction for the future of work through August 2024. Funded by the Integrative Activities program under the CFDA number 47.083, the award to the University of New Hampshire will develop the science and technology of intuitive human-automation interactions that promote safety, transparency, dignity and trust. Specifically, the university will conduct research with German...

This Cooperative Agreement award from the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards program (CFDA 11.609) provides $198,000.00 to Carnegie Mellon University to develop methods for the validation and deployment of AI-powered robots in manufacturing applications. The key products and services to be delivered include: Development of an AI robotic information system with a generative simulation framework to automatically...

The Department of Transportation Federal Aviation Administration Eastern Region awarded a $913,453 cooperative agreement to The Ohio State University Office of Sponsored Programs under the Aviation Research Grants program (CFDA 20.108). The award will support development of guidance for designing human-automation systems for air traffic control over a two-year period from December 2022 to December 2024. Under the award, The Ohio State University will collaborate with the University of...

This five-year National Science Foundation Project Grant of $1,238,246 will fund research at Carnegie Mellon University toward developing safe autonomous systems. The goal is to enable robots and other autonomous systems to operate safely while interacting closely with humans, as required for applications like next-generation manufacturing infrastructure. The university will develop a new algorithmic framework for assuring safety in autonomous robotic systems. The framework aims to optimize...

Ambi Robotics Inc. received a $972,586 Cooperative Agreement award from the National Science Foundation's Engineering program (CFDA 47.041) to develop advanced artificial intelligence and robotic systems for e-commerce logistics automation. Specifically, the company will create novel training systems for AI-enabled robotic pick-and-pack systems tailored to individual customer needs. Key deliverables include quality control vision modules, automated item pickability assessments, and enhanced AI...

This five-year, $673,782 National Science Foundation project grant in the Engineering program (CFDA 47.041) will fund research at Purdue University to develop a control-theoretic framework for modeling human cognitive state dynamics during human-automation interaction. The framework will define a human cognitive state space and characterize its dynamics in a model that can be used for control system design. A methodology will be created to estimate cognitive states and parameters in real time...

This $324,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research effort at The University of Texas at San Antonio (UTSA) to develop innovative techniques for automated testing of augmented reality (AR) applications. The goal is to improve the efficiency and comprehensiveness of testing AR apps, which are increasingly used across various industries but pose unique testing challenges due...

This National Science Foundation project grant of $174,778 will fund research at San Jose State University from September 2022 to August 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant aims to develop methods and tools to support older adults with varying cognitive and physical abilities in interacting with complex automated systems. Researchers will conduct simulation experiments to explore the effects of multimodal displays on how quickly...

This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 in funding to Sufficiently Advanced, Inc. for the development of an AI-powered robotic control system. The objective is to enhance automation capabilities and create a more adaptive future labor force by automating repetitive, dull, dirty, and dangerous tasks across various industries. The Phase I project will focus on advancing...

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...