Digital Twin (IsaacSim)
Real GOAT Racer
Train Virtually, Race in Real Life
Imagine teaching a robot to race by letting it practice in a video game first. That's exactly what we do with something called a digital twin.
A digital twin is like a copy of the real world inside a computer. We use NVIDIA's Omniverse and IsaacSim to create a virtual race track where our robot can learn to drive. The robot crashes, makes mistakes, and learns—all without breaking anything in real life.
Think of it like learning to ride a bike in a video game before trying it outside. The robot tries thousands of different things in the simulation. It learns what works and what doesn't. Then, we use something called sim-to-real transfer to move what it learned from the video game to the actual robot.
This is called reinforcement learning—the robot gets rewarded for doing good things (like staying on the track) and learns from its mistakes (like hitting walls). After training in the virtual world, it can race in the real world like a pro.
The future is here. 🎮🏎️
"Everything that moves will be autonomous someday, whether partially or fully. Breakthroughs in AI have made all kinds of robots possible."
— Jensen Huang, NVIDIA CEO
