HoloOcean Underwater Simulator
Built on Unreal Engine 5, our simulator accurately models sonar, buoyancy, acoustic communications and more.
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.
Current Research Projects
Efficient Search and Track of Multiple Targets
Long-rage search and track of multiple targets in uncertain and dynamic environments leveraging machine learning and informative path planning methods.
Reef Mapping / Characterization
Autonomous surveying/mapping for investigating the preservation of coral reefs in Samoa and Hawaii
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.
Cross Modality
Improving information exchange and interaction between sensors in both single and multi-agent systems
Navy Engineering Education Consortium (NEEC)
Building simple and cheap UUV vehicles used for cooperative robotic applications
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.
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to previously made predictions in order to achieve localization with respect to semantically labeled maps that may be outdated, expanding the possibilities of coastal monitoring in GPS-denied situations.
Previous Research Projects
Automatic Fault Diagnosis/Repair
Autonomous fault detection and repair on self driving vehicles
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.
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.
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.