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.

Undersea vision-based navigation and pose determination will enable divers and robots to collaboratively solve complex tasks in an inherently unstructured environment.

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

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

A system that enables robust, long-distance communications between underwater vehicles exploits laser technology.