Projects

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

A radar and guidance system enables uncrewed aircraft systems (UAS) to avoid collisions with other aircraft, allowing the Department of Defense to operate UAS in the National Airspace System.

By compiling lightning data, satellite imagery, and numerical weather models, the GSWR provides radar-like analyses and forecasts over regions not observed by actual weather radars.

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.

Researchers at the STRIVE Center are developing a fluid, intuitive exoskeleton system to improve the technology’s use in operational environments.

Researchers at the STRIVE Center are improving methods for identifying the mechanisms underlying balance impairments in patients with mild traumatic brain injury (mTBI).

A method to identify individuals by their gait, at a distance and in low-light conditions, combines infrared imagery and neural network–based pose estimation.

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