Dario Pompili receives NSF Grant for ML-Assisted Marine Plume Identification using Networked Autonomous Underwater Vehicles
Professor Dario Pompili has been awarded a new NSF grant to develop machine learning-assisted techniques for marine plume identification using networked autonomous underwater vehicles. This innovative research aims to enhance our understanding of underwater environmental phenomena through the coordinated deployment of autonomous underwater vehicles equipped with advanced sensing and machine learning capabilities.
The project will focus on developing novel algorithms that enable underwater vehicles to collaboratively detect, track, and characterize marine plumes in real-time. These plumes can include various underwater phenomena such as oil spills, chemical dispersions, or natural biological processes. By leveraging machine learning techniques, the networked vehicles will be able to adapt their search patterns and sampling strategies autonomously, significantly improving the efficiency and accuracy of marine environmental monitoring.
This grant underscores the continued excellence of the CPS Lab in underwater communications and autonomous systems research, building upon years of pioneering work in underwater acoustic networks and vehicle coordination.
