Project Grant N629092512062

The National Science Foundation's Geosciences Program (CFDA 47.050) awarded a $871,084 Project Grant to the Woods Hole Oceanographic Institution (WHOI) to develop a novel observing system that uses artificial intelligence (AI) to coordinate multiple autonomous underwater vehicles (AUVs). This system will be used to characterize the three-dimensional structure of tidally-driven coastal headland eddies, investigate the spatiotemporal variability of small-scale flow convergence within the eddies,...

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) 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 $420,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel AI surrogate cyberinfrastructure for large-scale spatiotemporal simulations of coastal circulation. The project aims to create AI-powered models that can generate coastal circulation simulations much faster and more efficiently than traditional numerical models, which are costly and time-consuming to run on...

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 $818,396 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083) will develop a multi-agent AI system of three bio-inspired underwater vessels and a control buoy. The goal is to enhance understanding of hydrodynamics and control of multi-swimmer systems, advance the theory and practice of programmable underwater networks, and enable effective survey of coastal zones. Key deliverables include: (A) three bio-inspired robotic fish...

This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $101,178 to the University of Notre Dame to develop and deliver an experiential training program in the field of marine technology. The program aims to create opportunities for skill development in emerging areas like artificial intelligence and autonomous underwater vehicle (AUV) deployment, as well as strengthen students' and early career professionals' confidence in...

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 $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Michigan to develop new capabilities for marine robotic systems to autonomously map, visualize, and navigate underwater environments. The project will leverage innovative machine learning methods to fuse acoustic and visual data from the robots, enabling improved mapping and localization in...

This $364,866 collaborative research project grant, awarded by the National Science Foundation's STEM Education program (CFDA 47.076), aims to develop, deliver, and assess an experiential training program in the rapidly evolving field of marine technology. The project, titled "COLLABORATIVE RESEARCH: BEGINNINGS: ADVANCING MARINE TECHNOLOGY CAREERS THROUGH IMMERSIVE AUTONOMOUS UNDERWATER VEHICLE DEPLOYMENT EXPERIENCES," has two overarching goals: 1) create opportunities for skill...