Projects

New machine learning methods capture statistical features within sonar data to distinguish between sound sources.

New navigation and vehicle autonomy algorithms consider which tasks humans and autonomous systems respectively do best, with the goal of improving search path planning and object classification in underwater environments.

A small, low-cost system that leverages long-length fibers embedded with electronics could provide persistent monitoring of the undersea environment.

We are developing a sensor network to improve our understanding and monitoring of sea ice breakup in the rapidly changing Arctic region.

The Laboratory is working to develop a novel seabed-mapping capability that can achieve high-resolution imaging and a fast coverage rate.