GOAT Racer

Build Your Own Autonomous Race Car

A fully autonomous RC race car powered by NVIDIA Jetson, trained with reinforcement learning, and equipped with computer vision. Built from scratch in our 3-day workshops.

Key Features

The GOAT Racer is a complete autonomous racing platform designed for learning and competition

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AI-Powered Navigation

Uses reinforcement learning trained in NVIDIA Omniverse. The AI learns optimal racing lines through thousands of simulated laps before ever hitting the real track.

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Computer Vision

Intel RealSense depth cameras and RGB sensors provide real-time environmental awareness. Processes visual data at 30+ FPS for instant decision-making.

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High-Performance Compute

NVIDIA Jetson edge computing runs neural networks onboard. No cloud connection neededโ€”all AI processing happens directly on the car at the edge.

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Digital Twin

Complete virtual replica in NVIDIA Omniverse enables safe training and testing. Sim-to-real transfer lets robots learn in simulation and execute in reality.

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Professional Hardware

VESC motor controllers provide precise speed and steering control. LiDAR sensors add 360-degree environmental mapping for advanced navigation.

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Real-Time Telemetry

Monitor speed, steering angle, sensor data, and AI decisions live over wireless connection. Debug and optimize performance in real-time during runs.

Technical Specifications

Production-grade components for serious autonomous development

Compute Platform
NVIDIA Jetson Orin Nano
Vision System
Intel RealSense D435
Motor Controller
VESC 6.0
LiDAR Sensor
RPLiDAR A1M8
Top Speed
25+ MPH
Battery Life
45-60 minutes
Processing Power
40 TOPS AI Performance
Framework
ROS2 + Python

Gallery

See the GOAT Racer in action and under construction

Bill of Materials (BOM)

Everything you need to build your own GOAT Racer

๐Ÿง  Compute & Core Electronics

Component Description Qty Est. Cost
NVIDIA Jetson Orin Nano 8GB Dev Kit - Main compute platform for AI/ML 1 $499
MicroSD Card 128GB UHS-I U3 - Operating system & storage 1 $20
Power Supply 5V/4A USB-C power adapter for Jetson 1 $15

๐Ÿ‘๏ธ Sensors & Vision Systems

Component Description Qty Est. Cost
Intel RealSense D435 Depth camera with RGB - Computer vision 1 $299
RPLiDAR A1M8 360ยฐ laser scanner - 12m range, 8000 samples/sec 1 $99
IMU Sensor 9-DOF IMU - Accelerometer, gyro, magnetometer 1 $25

โšก Motor Control & Drive System

Component Description Qty Est. Cost
VESC 6.0 Electronic speed controller - Precise motor control 1 $149
Brushless Motor High-performance DC motor - 3000KV rating 1 $45
Steering Servo High-torque digital servo - 20kg-cm 1 $35

๐ŸŽ๏ธ RC Platform & Chassis

Component Description Qty Est. Cost
RC Car Chassis 1/10 scale RC car platform - Traxxas or similar 1 $200
Wheels & Tires Performance rubber tires with foam inserts 4 $40
Custom Mounts 3D printed camera, LiDAR, and Jetson mounts 1 set $30

๐Ÿ”‹ Power System

Component Description Qty Est. Cost
LiPo Battery 3S 5000mAh 50C - Main drive battery 2 $80
Step-Down Converter 12V to 5V @ 5A - Power for electronics 1 $15
LiPo Charger Smart balance charger with AC adapter 1 $45
Power Distribution XT60 connectors, wiring, fuses 1 set $25

๐Ÿ“ก Connectivity & Accessories

Component Description Qty Est. Cost
WiFi Module Dual-band USB WiFi adapter for telemetry 1 $25
USB Hub 4-port powered USB 3.0 hub 1 $20
Cables & Adapters USB-C, micro-USB, jumper wires, heat shrink 1 set $30
Tools & Fasteners Hex drivers, zip ties, mounting hardware 1 set $25

Total Estimated Cost

~$1,700

Complete autonomous racing platform with all components

Build Process Overview

What you'll learn in our 3-day workshop

1

Hardware Assembly

Assemble the RC chassis, mount the Jetson compute module, install cameras and LiDAR, wire the VESC motor controller, and set up the power distribution system. Learn the anatomy of an autonomous vehicle.

2

Software Configuration

Flash Jetson with Ubuntu and JetPack SDK, install ROS2 and dependencies, configure camera and sensor drivers, set up networking and SSH access. Get your development environment ready.

3

Vision Pipeline Development

Calibrate cameras, implement computer vision algorithms, process depth data in real-time, build object detection pipelines. See what your robot sees and teach it to understand the world.

4

Motor Control Integration

Configure VESC parameters, implement PID control loops, tune steering and throttle response, add safety limits. Make your robot move precisely and predictably.

5

Digital Twin Creation

Build a virtual replica in NVIDIA Omniverse, import the track environment into IsaacSim, create physics simulations. Set up your training ground for AI development.

6

AI Training & Deployment

Implement reinforcement learning algorithms, train navigation models in simulation, deploy trained AI to physical robot, test and optimize performance. Watch your robot learn to race.

Ready to Build?

Join our next 3-day workshop and build your own GOAT Racer from scratch. All materials included, expert mentorship provided, and you take your robot home.