FROST Lab
The Field Robotics Systems Lab
Our Vision
What is the FROST Lab?
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.
Robotic Perception
Algorithms and sensor fusion that allow robots to interpret camera, lidar and IMU data to understand their surroundings in real time.
Task and Motion Planning
Planning algorithms that generate safe, feasible motion trajectories and high-level task sequences for autonomous operation.
SLAM: Robot Localization and Mapping
Techniques for determining a robot’s pose and building consistent maps of unknown environments for reliable navigation.
Non-linear State-Estimation
Robust filtering and smoothing (EKF/UKF/factor-graph-based) for estimating vehicle and sensor states under noise and uncertainty.
Hardware/Software-based Algorithm Acceleration
Using optimized implementations, GPU/FPGA acceleration, and system-level design to meet real-time constraints in the field.
Multi-agent Systems
Cooperative algorithms for coordination, communication and distributed decision-making among multiple robotic agents.