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Electrical and Computer Engineering
FRoSt Lab
Field Robotic Systems Lab

Active Data Collection

We are developing novel unsupervised 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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Autonomous Wheelchair Navigation

By leveraging techniques from autonomous driving, we are developing an autonomous all-terrain stairclimbing wheelchair that can enable those with limited control to experience the outdoors and travel to locations not previously accessible to them.
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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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Multi-agent Communication-constrained Underwater Mapping

Enabling multiple underwater vehicles to collaboratively map or search environments while taking into account the strict communication constraints inherent to the underwater domain.
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Autonomous Marine 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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Efficient Hardware Implementations or Robotics Algorithms via HLS

Improving the efficiency of robotics perception, estimation, and planning algorithms through the use of High-Level Synthesis (HLS) to generate custom FPGA circuitry.
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Automatic Fault Diagnosis/Repair

Autonomous fault detection and repair on self driving vehicles
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Cross Modality

Improving information exchange and interaction between sensors in both single and multi-agent systems
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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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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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