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Getting Started

PhysiCar AI is a creative Physical AI education platform.
Through hands-on examples, you build your own robot and self-driving with your own hands and grow into a Physical AI Creator.

Anyone can start — free, easy, and fast

Every hands-on activity runs in your web browser, with nothing to install — we recommend the Chrome browser.

You can start for free with the welcome credit that comes with your PhysiCar AI account.

About PhysiCar AI

Platform structure

PhysiCar AI is made up of three parts.

  • Site (physicar.ai)

    The platform's official homepage.
    Manage your account and learn and grow on your own through tutorials, learning docs, and more.

  •   Simulator (SIM)

    A space to practice with a virtual robot in the simulator.
    Practice right away with a virtual robot, with no physical kit.

  •   Physical robot (REAL)

    The physical robot (Real).
    After practicing with a virtual robot in the simulator, optimize on the real robot.

Sim2Real

PhysiCar AI provides a digital twin practice environment. The simulator has the same web console, ROS 2 topics, and Web API as the physical kit, so the code and models you practice on a virtual robot — even without a kit — run as-is on the real robot.

Build it virtually → verify and optimize it on the real robot: this whole flow is Sim2Real.

Concept → Digital twin · Start now → Start with a virtual robot

Physical robot (REAL)

PhysiCar is physical + car — a 1/16-scale robot kit that combines a car-shaped robot with AI.

Part Spec
Computer Raspberry Pi 5
Camera 480×360, pan/tilt ±30°, night vision
LiDAR 360°, approx. 0.1–16 m
IMU 6-axis (accelerometer + gyroscope)
Drive Ackermann steering ±20°, up to 3.0 m/s
Other Speaker, rear touchscreen

Structure & sensors in detail → Robot anatomy & sensors

Examples

Creator projects that grow you into a Physical AI Creator

Ready-to-run notebooks in the workspace's examples/ folder — see how to run them and the recommended order:

  • PhysiCar ROS 2: A runnable tour of the robot's interfaces — every ROS 2 topic and Web API endpoint, one cell at a time
  • PhysiCar SIM: The simulator's own API — teleport, worlds, traffic lights, reset, evaluation
  • Line Tracing: Follow the line with a color filter and P-control — self-driving with no machine learning
  • Object Detection: Detect objects with YOLOv8 and chase one — the perception → control loop
  • Navigation: Build a map with the LiDAR (SLAM), click a destination, and the car finds its own way there (Nav2)
  • Agent: Talk or type to your robot — chat and voice agents that drive, look around, and answer
  • Racing Deep Learning: One CNN, two teachers — supervised learning from your driving and reinforcement learning from a reward

And two projects beyond the notebooks:

Teachers & Organizations

Support for everything you need to run students and host events at schools and organizations.

  • Classroom operation — students join with an invite code; their AI chat, realtime voice, and simulator time are billed to the teacher's credits, and you directly manage sponsor limits and allowed chat models.
  • Classes & competitions — group classes in the simulator, custom worlds published straight to your classroom, auto-scored evaluations, and track printing + the Racing Lap Timer to run offline competitions.

Create a classroom & invite · Run classes & competitions

Get ready

Create your account

You'll need an account for a smooth experience. AI chat and simulator usage time are deducted from your credits.

  • Sign up for PhysiCar AI — Sign up (email-based). Your PhysiCar AI account is all you need — no GitHub account required.

Credits & pricing in detail → Credits & pricing

Buy a physical robot (optional)

If you want to practice with a real robot, buy the kit, official track, fences, and accessories from the Store.

Once it arrives → Start with a physical robot

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