The University of Florida (UF), through its Division of Sponsored Research, was awarded a $299,752 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program. The grant, with a performance period from January 1, 2024 to December 31, 2026, will fund research to develop novel optical technologies for accurate underwater robot localization and navigation without relying on GPS or acoustic guidance. Key innovations include using...
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...
The National Science Foundation Division of Information and Intelligent Systems awarded a $945,291 Project Grant to the Regents of the University of Minnesota under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award running from January 1, 2023 to December 31, 2026 will support research to develop novel capabilities for autonomous underwater robotic perception and navigation. Specifically, the university researchers will work to enhance...
This $122,196 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research by Florida Atlantic University to develop an autonomous robotic system for energy-efficient, time-sensitive navigation in unstructured environments. The research advances focus on three key areas: (1) building energy-cost maps for large, uneven terrains using multi-modal machine learning models; (2) designing time- and energy-aware path...
This Project Grant award from the National Science Foundation's (NSF) Division of Environmental Biology, under CFDA Program 47.074 Biological Sciences, is providing $103,398 to Florida International University (FIU) to develop a novel seafloor sensor/sampler system and associated machine learning control systems. The goal is to better understand how tidal pumping and subsurface currents influence seafloor oxygenation and sedimentary carbon cycling. The project will provide mentoring and field...
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 $199,976 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) is funding a research project at Saint Louis University to develop an AI-defined high-speed underwater optical networking system that integrates sensing and communication. The project aims to address limitations of current underwater communication methods by designing novel environment-aware optical sensing techniques, an efficient framework for multi-agent underwater optical...
This Project Grant award of $126,338.00 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund a research project at the University of Florida to develop a novel human-robot interface for remote operation of undersea robots. The interface will integrate robot sensor readings and hydrodynamic simulations to create an immersive mixed reality (MR) display, translating the robot's perceptions and actions to the human operator. The goal is to enable human-robot...
This $499,495 National Science Foundation project grant supports the development of computational imaging solutions to facilitate underwater robotic tasks through September 2024. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the grantee George Mason University will develop a novel angularly sampled imaging system and algorithms to analyze nonlinear light transport in water, model underwater surface reflectance, and reconstruct three-dimensional...
This Project Grant award, valued at $187,492.00 and funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to design a cyber-physical system (CPS) comprising networked autonomous underwater vehicles (AUVs) to perform machine learning (ML)-assisted identification of marine plumes. The key objectives of this project are to: (1) develop multi-fidelity numerical models of multiphase plumes to understand their current...