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 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 National Science Foundation (NSF) award under the Engineering program (CFDA 47.041) provides $195,492 to Louisiana State University (LSU) over a 5-year period from June 2024 to May 2029. The overarching goal of this project is to design autonomous underwater vehicle-manipulator systems (UVMS) that are robust and reliable in responding to unforeseen events, as observed through dynamic vision sensors. The key objectives are to: 1) create novel physics-based and data-driven dynamic models with...
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 $773,810 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund the development of a multi-modal optical sensing system to characterize marine particles and enable adaptive biogeochemical sampling by autonomous robotic vehicles. The University of Texas Rio Grande Valley, in collaboration with Woods Hole Oceanographic Institution, will integrate a sensor suite including stereo cameras, microscopic cameras, fluorometry, and optical...
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 National Science Foundation (NSF) Project Grant award under the Geosciences program (CFDA 47.050) provides $315,503 to the Texas A&M Engineering Experiment Station (Tees) from September 1, 2024 to August 31, 2027. The purpose of this grant is to develop an integrated optical sensing system to characterize marine particles and enable adaptive robotic collection of biogeochemical and biological samples. The project will equip underwater robotic vehicles like the remotely operated...
The National Science Foundation (NSF) awarded a $300,000 Project Grant to Arizona State University under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on January 1, 2024. The grant supports a 3-year collaborative research project to develop novel hardware platforms and algorithms for fusing optical and ultrasonic sensors to enhance computer vision and computational imaging capabilities. The key products and services to be delivered include: New rendering...
This $400,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is aimed at developing an innovative artificial compound eye system capable of advanced in-situ object tracking and depth perception. The project will integrate a novel photodiode-based hardware design, inspired by the hemispherical structure of arthropod eyes, to enable a wide field of view and rapid image acquisition. To efficiently process the high-dimensional visual data,...
This $300,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program to Trustees of Dartmouth College supports the development of new hardware platforms and algorithms to fuse optical and acoustic sensing for enhanced computer vision and computational imaging. The key objectives are to: 1) Design rendering algorithms that can jointly synthesize optical and acoustical information to recover environmental data; 2) Develop...