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.

With the goal of enabling navigation in environments where GPS is unavailable or unreliable, researchers are developing algorithms to fuse information across a network of small, low-power radio-frequency devices.

A new approach to materials discovery aims to expedite the process of deploying new materials for specific mission needs.

We are using reinforcement learning to train artificial intelligence to team with humans and carry out complex military operations.

Dedicated satellite imaging could help coordinate emergency response to disasters.

We are building an open-source toolbox to help researchers more easily design, evaluate, and monitor artificial intelligence (AI) systems.

Robust, trustworthy, and safe machine learning algorithms that operate in resource-constrained environments will improve missile defense and other target recognition and mission planning systems.

Optical atomic clocks are the most accurate in the world, but they are very large, sensitive instruments. We are transforming the complex components of these clocks into a compact, portable platform.

A deployable navigation network of small, low-cost radio transponders can help track the locations of first responders during rescue operations.