Projects

Combining Neural Networks and Histogram Layers for Underwater Target Classification
New machine learning methods capture statistical features within sonar data to distinguish between sound sources.
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Underwater PB&J: Combining Diver and Robot Strengths for Optimized Mid-Mission Teaming
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.
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Radio-Based Navigation for Environments Without GPS
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.
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Materials by Design
A new approach to materials discovery aims to expedite the process of deploying new materials for specific mission needs.
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Mission-Ready Reinforcement Learning
We are using reinforcement learning to train artificial intelligence to team with humans and carry out complex military operations.
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Responsible AI Toolbox
We are building an open-source toolbox to help researchers more easily design, evaluate, and monitor artificial intelligence (AI) systems.
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Machine Learning in Resource-Constrained Environments
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.
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Compact Optical Trapped-Ion Array Clock
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.
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Low-Cost Localization Using Distributed Adaptable-Response Transponders
A deployable navigation network of small, low-cost radio transponders can help track the locations of first responders during rescue operations.
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