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 challenging underwater conditions without the need for direct human control. The research aims to advance scientific understanding, bolster maritime defense, and strengthen the economy through new capabilities demonstrated for autonomous underwater surveying and inspection tasks such as mapping historically significant shipwrecks. The project will also develop educational resources and publish software/datasets to foster further innovation in ocean robotics.
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