This National Science Foundation (NSF) Early-concept Grants for Exploratory Research (EAGER) project aims to develop an immersive mixed-reality infrastructure that enables smooth sensorimotor interactions between humans and virtual scene simulations. The $149,999 award, granted under NSF's Engineering program (CFDA 47.041), supports research to establish a closed-loop AI-driven task environment for training applications. Key objectives include creating flexible training modules, developing...
This EAGER (Early-concept Grants for Exploratory Research) project, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to create a personalized training framework that adapts to each worker's cognitive functions and sensorimotor skills in collaborative robotic manufacturing environments. The $299,953 grant, awarded on September 1, 2024, with a completion date of August 31, 2026, focuses on advancing personalized training strategies for complex...
The National Science Foundation awarded a $457,105 project grant to The University of Texas at San Antonio under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support research into reducing cognitive demands and safety risks for users of mobile augmented and virtual reality technologies. Specifically, the research team will study how mobile augmented and virtual reality headsets impact user attention and symptoms of sickness while...
This National Science Foundation (NSF) Early-Concept Grants for Exploratory Research (EAGER) Project Grant, awarded under the NSF Engineering program (CFDA 47.041), aims to develop research infrastructure to enhance human training through AI-driven task environments integrating humans with virtual scene simulations and multi-modal sensorimotor interactions. The $150,000 award to The Pennsylvania State University will fund research to: 1) establish an edge-assisted mixed-reality infrastructure...
This Project Grant award of $230,000 from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of a holistic wireless extended reality (XR) framework. The key products and services to be delivered include: Novel millimeter-wave (mmWave) sensing methods to detect full-body movements of multiple XR users, leveraging channel state information and radio map data. A collaborative reinforcement learning framework to enable distributed XR access points to jointly...
This National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems award under the Engineering program (CFDA 47.041) provides $170,000 to Auburn University from February 1, 2025 to January 31, 2028 to develop a holistic wireless extended reality (XR) framework. The project aims to enable highly efficient and robust wireless-enabled XR networks and applications through novel millimeter wave sensing methods, collaborative reinforcement learning, and an open-source...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $305,000 to Elite Neuro Inc. aims to develop and validate a virtual reality-based platform that integrates cognitive assessment and enhancement through perceptual training. The project addresses the need for scalable, scientifically validated tools to improve cognitive performance across domains such as athletics, education, and cognitive rehabilitation. The virtual reality...
This National Science Foundation project grant of $399,894 will fund the development of an augmented reality tool to support STEM learning for students with executive functioning difficulties. Awarded on September 1, 2022 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), the grant provides funding to Terc, Inc. through August 31, 2025. Specifically, the grantee will create an open-source tool using deep learning algorithms to detect off-task behavior in undergraduate...
The National Science Foundation (NSF) awarded a $380,000 Project Grant to The Pennsylvania State University (Penn State), under the Computer and Information Science and Engineering program (CFDA 47.070), for a 3-year collaborative research project focused on developing an extended reality (XR) factory simulation to investigate the impact of technological advances on adaptive problem-solving skills and personalized learning in manufacturing education. The project will design and develop a virtual...
This $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at New York University to develop efficient computer systems for augmented and virtual reality through a perception-guided approach. Specifically, the researchers will design software-hardware mechanisms to quantitatively model human visual perception and leverage those models across system stacks to achieve an order of magnitude gain in...