Project Grant 80NSSC18K0042
- 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 $149,987 National Science Foundation project grant through the Engineering (47.041) program will support Louisiana State University's development of an intelligent immersive training environment to foster transferable skills for future extraterrestrial construction workforces. The university will investigate the nature of future off-world construction and the hierarchy of skills required. Researchers will also explore emerging technologies that can integrate transferable skills like...
- 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...
- 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 National Science Foundation (NSF) Early-Concept Grant for Exploratory Research (EAGER) award, under the Engineering program (CFDA 47.041), funds $299,861 in research led by George Mason University (GMU) to develop novel mixed reality training tools for first responders. The goal is to integrate artificial intelligence (AI) with mixed reality headsets to provide interactive, scenario-based training that simulates real-world emergency response challenges. The research team will collaborate...
- 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 Cooperative Agreement award from the National Aeronautics and Space Administration (NASA) under the Office of STEM Engagement (OSTEM) program (CFDA 43.008) provides $100,000.00 for the development of a compact, non-invasive, and efficient vision screening system for long-term spaceflight missions. The research aims to evaluate a novel framework enabled by artificial intelligence (AI) and virtual reality (VR) as a proof-of-concept, robust, low-cost system for detecting visual deficits caused...
- This National Science Foundation (NSF) Early-Concept Grant for Exploratory Research (EAGER), under the Engineering program (CFDA 47.041), provides $320,000 in funding to the University of Texas at Arlington (UTA) to develop a novel extended reality (XR) system that leverages embodied cognition principles to assess attention deficit and other cognitive functions. The project aims to create immersive, interactive virtual environments where users engage in cognitively demanding tasks. The system...
- This SBIR Phase I Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $304,200 to develop a novel adaptive learning platform. The platform leverages mixed-reality, competency-based learning to address workforce displacement due to artificial intelligence (AI) and automation. Key innovations include a skills engine using generative AI and robotic process automation (RPA) to identify and map...
- This Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) supports a collaborative research project led by Emory University to develop an interactive artificial intelligence (AI) teammate system for upskilling mental health workers. The $548,297 award aims to understand how AI can be effectively and ethically integrated into mental health work to address the shortage of skilled workers and improve access to research-supported treatment protocols. The...
THIS PROPOSAL IS SUBMITTED IN RESPONSE TO NASA'S HUMAN EXPLORATION RESEARCH OPPORTUNITIES (HERO) SOLICITATION NUMBER NNJ14ZSA001N-FLAGSHIP AND IS SPECIFICALLY RESPONSIVE TO TOPIC L IN THE CATEGORY OF RESEARCH AND TECHNOLOGY DEVELOPMENT TO SUPPORT CREW HEALTH AND PERFORMANCE IN SPACE EXPLORATION MISSIONS. THE TECHNICAL APPROACH SUMMARIZED IN THE FOLLOWING PAGES FITS INTO THE HUMAN RESEARCH ROADMAP BY ADDRESSING THE RISK OF PERFORMANCE ERRORS DUE TO TRAINING DEFICIENCIES. THIS TEAM PROPOSES A WORK PLAN TO IDENTIFY THE SKILLS AND KNOWLEDGE THAT WILL BE REQUIRED OF CREW MEMBERS TO SUCCESSFULLY CONDUCT EXPLORATION-CLASS MISSIONS (I.E. TO ASTEROIDS THE MOON MARS AND BEYOND) AND TO RECOMMEND DATA-DRIVEN TRAINING STRATEGIES. THROUGH THE STRONG FOUNDATION OF BROAD SYSTEMATIC TASK ANALYSIS BASED ON OPERATIONAL CONCEPTS DERIVED FROM THE PLANETARY DESIGN REFERENCE MISSION (DRM)/ MARS DESIGN REFERENCE ARCHITECTURE CONDUCTED BY AN EXPERIENCED COLLABORATIVE TEAM THE SHFE-TRAIN-04: WE DO NOT KNOW THE TYPES OF SKILLS AND KNOWLEDGE THAT CAN BE RETAINED AND GENERALIZED ACROSS TASKS FOR A GIVEN MISSION TO MAXIMIZE CREW PERFORMANCE WILL BE THE MAIN GAP FOCUS FOR THIS RESEARCH. BY CATEGORIZING THE SKILLS AND KNOWLEDGE OVER A WIDE SPECTRUM OF DOMAINS COMMONALITIES AND OVERLAPS OF SKILLS AND KNOWLEDGE CAN BE DOCUMENTED TO ENABLE IDENTIFYING GENERALIZABLE SKILLS. ALSO WITHIN THE SCOPE OF THIS FUNDING A PRELIMINARY SET OF TASKS FROM DIFFERING DOMAINS THAT SHARE COMMON SKILLS/KNOWLEDGE CAN BE FORMALLY ASSESSED TO EXPLORE THE GENERALIZABILITY AND TRANSFERABILITY OF DIFFERENT DOMAINS WITH SIMILAR SKILLS/KNOWLEDGE BASE. THIS WILL PROVIDE THE SHFE TRAINING RISK CUSTODIANS THE POSSIBILITY OF CREATING A ROBUST TOOL WITH AN EXTENSIVE DATABASE ON WHICH TO LEVERAGE FUTURE PLANNED TRAINING WORK TO VALIDATE OBJECTIVE MEASURES OF OPERATORY PROFICIENCY AND TRAINING EFFECTIVENESS (I.E. SHFE-TRAIN-01) AND DEVELOP GUIDELINES FOR EFFECTIVE ONBOARD TRAINING (I.E. SHFE-TRAIN-02).
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $114.5k | 11/17/17 | ||
| Not listed | Not listed | $114.5k | 11/17/17 |