Projects

These robots can navigate difficult urban disaster terrain to help responders locate and access victims for rescue.

This software program helps disaster responders extract actionable information from post-disaster aerial images.

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.

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

The application helps users to plan pandemic response by estimating state and regional personal protective equipment (PPE) demand.

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.

Our see-through-wall sensor is a lightweight, portable technology that peers through rubble and debris of a disaster site to detect survivors.

Our video analytics are helping to improve waterway security.