Developers, start your engines
AWS DeepRacer Evo is the next generation in autonomous racing and the fastest way for developers to get rolling with machine learning. Get hands-on with the fully autonomous 1/18th scale race car and get a head start in learning how to compete in future object avoidance and head-to-head races.
In pole position to learn reinforcement learning
AWS DeepRacer Evo is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique which takes a very different approach to training models than other machine learning methods. Its super power is that it learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.
With AWS DeepRacer Evo, you now have a way to get hands-on with RL, experiment, and learn through autonomous driving. You can get started with the virtual car and tracks in the cloud-based 3D racing simulator and the new “My Garage” section of the AWS DeepRacer console. For a real-world experience, you can deploy your trained models onto AWS DeepRacer Evo and race your friends, or take part in the AWS DeepRacer League, which includes object avoidance and dual-car head-to-head races, in addition to time-trial races. Developers, the race is on.
Car
Experience the thrill of the race in the real- world when you deploy your reinforcement learning model onto AWS DeepRacer Evo.
Simulator
Build reinforcement learning models and train, test, and iterate quickly and easily on the track in the AWS DeepRacer 3D racing simulator.
League
Compete in the world’s first global, autonomous racing league, to race for prizes and glory and a chance to advance to the Championship Cup.
Get on track to start learning right away
A new, fun way to learn reinforcement learning
AWS DeepRacer Evo allows developers of all skill levels to get started with reinforcement learning by providing hands-on tutorials to quickly start training RL models and test them in a fun, autonomous car racing experience.
Community and competition
The AWS DeepRacer League provides an opportunity for you to meet fellow machine learning enthusiasts, online and in-person, share ideas and insights, compete in time trial races as well as new challenges such as head-to-head racing, and showcase your skills to win prizes and glory.
Get started quickly, anywhere
With the AWS DeepRacer console and 3D racing simulator you can start training your model on the virtual track in minutes, wherever you are.
Experiment and grow
The AWS DeepRacer 3D racing simulator and car provides an ideal environment where you can test the latest reinforcement learning algorithms and simulation-to-real domain transfer methods.
Go beyond the track with open source robotics projects
Follow the Leader
Learn to deploy an object detection model that enables the AWS DeepRacer device to identify and follow an object. Extend this sample project by modifying the code to recognize other objects for your use case. Bring your own custom model, navigation logic, and add-on hardware (optional) to invent your own application.
Build fun applications (use the DeepRacer as a digital pet or to follow an object) or industrial prototypes (warehousing, manufacturing).
CAR | 1/18th scale 4WD monster truck chassis |
CPU | Intel Atom™ Processor |
MEMORY | 4 GB RAM |
STORAGE | 32 GB (expandable) |
WI-FI | 802.11ac |
CAMERA | 2 X 4 MP camera with MJPEG |
LIDAR | 360 degree 12 meters scanning radius LIDAR sensor |
SOFTWARE | Ubuntu OS 16.04.3 LTS, Intel® OpenVINO™ toolkit, ROS Kinetic |
DRIVE BATTERY | 7.4V/1100mAh lithium polymer |
COMPUTE BATTERY | 13600 mAh USB-C PD |
PORTS | 4x USB-A, 1x USB-C, 1x Micro-USB, 1x HDMI |
INTEGRATED SENSORS | Accelerometer and Gyroscope |
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