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 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...
This National Science Foundation (NSF) Early-Concept Grant for Exploratory Research (EAGER) award, under the NSF Engineering program (CFDA 47.041), provides $320,000 to the University of Texas at Arlington (UTA) to develop an adaptive extended reality (XR) system for assessing attention deficit and other cognitive functions. The project aims to create immersive, interactive virtual environments that leverage principles of embodied cognition to provide more accurate and comprehensive cognitive...
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) Early-Concept Grant for Exploratory Research (EAGER) project, under the NSF Engineering program (CFDA 47.041), will support research at Arizona State University (ASU) to create a new modeling and learning framework enabling efficient coordination between a human and robot in urgent and safety-critical sensorimotor tasks. The $300,000 award, from September 2024 to August 2026, will integrate ideas from behavioral economics, game theory, optimal control,...
This $515,838 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an intelligent extended reality (XR) tutoring system to accelerate the learning of complex psychomotor tasks in manufacturing, medical, and construction fields. The project aims to leverage XR, artificial intelligence (AI), and Internet-of-Things (IoT) technologies to build models of psychomotor skill...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $299,861 to George Mason University aims to develop mixed reality training tools to enhance the effectiveness of first responders through human-AI collaboration. The research team will work with the Fairfax Fire and Rescue Department to explore how AI can be integrated with mixed reality devices to provide interactive training scenarios that simulate real-world emergency response challenges. The...
This National Science Foundation (NSF) Early-Concept Grant for Exploratory Research (EAGER) Project Grant, awarded under CFDA 47.041 Engineering, will leverage virtual reality (VR) and wearable technologies to study how individuals with visual impairment navigate through crowded urban environments. The $300,000 grant, awarded to New York University, aims to elucidate the sensorimotor interactions and cognitive processes underpinning the navigation of persons with visual impairment through...
This EAGER (Early-concept Grants for Exploratory Research) Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to advance dexterous teleoperation and human-robot collaboration technologies. The $160,000 award supports research to develop a learning-based robot control policy, a safety-aware multi-modal perception system, and integrated control and feedback mechanisms for intuitive and precise bi-directional human-robot interactions. The project...
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...