Project Grant 2430418

Award Date 9/1/24
Completion Date 8/31/26
Dollars Obligated $300K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
College Park, MD 20742, USA
Similar Awards
This $193,420 federal Project Grant awarded by the National Science Foundation under the Computer and Information Science and Engineering (CFDA 47.070) program will support research at Auburn University to advance the use of virtual reality (VR) in flight training. The project aims to study how physical, functional, and cognitive aspects of VR-based flight simulation impact a trainee's ability to effectively learn and transfer skills to the physical aircraft. Key activities include conducting...
This $250,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research project to enhance the cognitive capabilities of aviation maintenance technicians through the integration of artificial intelligence (AI) and extended reality (XR) technologies. The primary goal is to improve inspection processes and reduce maintenance errors that cause aircraft accidents. The award is funding research and development led by a...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) award of $300,000 will fund an "EAGER: TASKDCL: DRONEVISION, A PHYSICS-BASED ENVIRONMENT USING FLYING LIGHT SPECKS" project at the University of Southern California (USC). The project aims to develop a novel "physics-based environment called DRONEVISION that will enable its users to see illuminated objects with their naked eyes and to have haptic interactions with them using their bare hands." It will...
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 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research project led by Clemson University, in partnership with Purdue University, Greenville Technical College, and several industry/professional organizations. The goal is to leverage artificial intelligence (AI) and extended reality (XR) technologies to enhance the cognitive capabilities of aviation maintenance technicians during critical aircraft inspection...
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) Integrative Activities (CFDA 47.083) Project Grant award of $259,969 aims to develop immersive training environments that enhance skill acquisition, knowledge transfer, and workplace safety in smart manufacturing. Specifically, the project will integrate mixed reality (MR) and digital twin (DT) technologies to transform traditional training methods and provide workers with practical, self-guided modules to acquire essential skills for Industry 4.0. The...
This $200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a planning effort to explore foundational requirements and constructs for enabling safe, reliable interactions between users and uncrewed aerial systems (drones) in diverse work environments. The goal is to develop an initial conceptualization, planning, and collaboration activities to inform the design of future large-scale...
This Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075), provides $418,127 to Rensselaer Polytechnic Institute. The funding will support research investigating how people visually guide movement to satisfy goals over multiple time horizons through complex navigation tasks. Researchers will study human steering and gaze strategies using a custom virtual...

This $300,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research by the University of Maryland, College Park to enhance pilot training through the development of methods for optimizing sensory-motor interactions. The goal is to reduce training duration and improve safety by leveraging secondary sensory cues, such as touch and audition, and insights into pilot neurophysiology. The research involves creating a pilot training platform that uses multiple synthetic actors, including virtual/augmented reality, motion-base platforms, spatial audio, haptic suits, and active control inceptors, to provide multimodal cues. The project aims to integrate tools from flight dynamics, control theory, human-machine interaction, and neurophysiology to develop a framework for optimal sensory-motor interaction in pilot training. The anticipated outcomes include advancements in digital assistant systems, improved training methods, and enhanced operational safety in areas like single-pilot operations and urban air mobility.

Generated 5/13/25, 1:59 AM