Projects

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.

Teaming autonomous ground and aerial vehicles improves autonomous off-road military missions.

We developed new distributed coordination algorithms for deploying multiple autonomous systems from a single set of operator commands.

We are building a toolbox of autonomous functions for unmanned aerial systems to improve UAS missions and alleviate burden on human operators in the field.

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

Teams of autonomous systems learn collaboration strategies by hypothesizing how the team would perform if one system followed alternative trajectories or was eliminated from the team.

For experiments with unmanned aerial vehicles, researchers use simulated geographies that avoid the risks of real-world flight tests.

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

Small unmanned systems are achieving new proficiencies in autonomy.

A ground-penetrating radar that detects objects deep underground can also help keep a self-driving automobile in its lane.