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FRoSt Lab
Field Robotic Systems Lab

HoloOcean Underwater Simulator

Built on Unreal Engine 4, our simulator accurately models sonar, buoyancy, acoustic communications and more. Learn more here.
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Active Data Collection

We are developing novel semi-supervised machine learning algorithms that will allow AUVs to more efficiently plan their own paths based on actively inferred environmental patterns in combination with pre-embedded scientific knowledge.
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Reef Mapping / Characterization

Autonomous surveying/mapping for investigating the preservation of coral reefs in Samoa and Hawaii
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Cross Modality

Improving information exchange and interaction between sensors in both single and multi-agent systems
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Autonomous Civil Infrastructure Inspection

The FRoSt Lab is developing methods to enable autonomous underwater vehicles to automatically inspect underwater structures such as ship hulls, dams, bridges, and piers.
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Long-Term Coastal Semantic Localization

Comparing current observations of coastline environments to previously made predictions in order to achieve localization with respect to semantically labeled maps that may be outdated, expanding the possibilities of coastal monitoring in GPS-denied situations.
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Navy Engineering Education Consortium (NEEC)

Building simple and cheap UUV vehicles used for cooperative robotic applications
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The Field Robotic Systems Lab (FRoSt Lab) at Brigham Young University is focused on enabling the development of robust and reliable field-robotic systems that are able to consistently perceive, navigate, and perform work in complex unstructured real-world environments.

Particular areas of expertise and interest include:

  1. Robotic Perception
  2. Robotic Localization, Mapping, and SLAM
  3. Non-linear State-Estimation
  4. Task and Motion Planning
  5. Hardware/Software-based Algorithm Acceleration
  6. Multi-agent Systems
  7. Marine Robotics and Autonomous Underwater Mapping/Localization
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Research

Learn more about what we do.
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Lab Members

Meet the team.
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Publications

Explore our published work.
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