Introduction
A full-stack integration of Isaac Lab with entry-level wheeled robots.
Wheeled Lab is a full-stack integration of Isaac Lab with entry-level wheeled robots. There are currently three fully integrated tasks:
The Three Tasks
Drifting
Drifting is a challenging task in both optimal control and reinforcement learning. It's a physically unstable maneuver precisely determined by things like vehicle mass, friction, motor torque, mechanics, etc. But, what do you do if you don't know these things? Simulate and train!
Open the Drifting tutorialElevation
Elevation intimately connects perception and control. What's the difference between an obstacle and a ramp? Stairs? For a robot, the answer depends on what kind of thing it is: quadruped, car, drone, etc.
Visual
Visual is a modern simulation-based approach to the age-old problem of navigation with cameras.
Wherever you start, you'll learn about state-of-the-art simulation and reinforcement learning. And by deploying these models on hardware, you'll develop valuable engineering skills: hyperparameter tuning, model evaluation & selection, and the killer: solving the Sim2Real gap!