Research
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.
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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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