We're exploring how AI, IoT and XR technologies can advance industrial robotics.

Robotics for everyone

Compatible with over two million major brand industrial robots deployed today, ForgeOS is the fastest way to create professional robotics tasks.

Connect robots to anything

For developers Forge/OS presents a single API to connect to many major robot makes and models. This means you can quickly obtain data streams from robots in factories and warehouses and integrate them into business logic, machine learning, research platforms and more. Here are just a few of the projects we've been working on with our ecosystem partners.

Software Defined Automation

Applying Edge ML to Industrial Robotics

Virtual Reality unlocks a new experience for managing a fleet of robots

Applying Edge ML to Industrial Robotics

Featured project

Production line downtime can cost $10,000s of dollars a minute, so how do we better anticipate robot failures in order to optimize output? In this blog we show a method to rapidly acquire industrial robot data in order to train and test edge ML models, which we then apply to a predictive maintenance task.

Read more about Edge ML & Robotics

All about the data

Forge/OS has drivers covering over 90 models of industrial robot from ABB, Epson, Fanuc, Kawasaki, Stäubli, and Universal Robots. This means code built on Forge/OS can be reused across many models.

// joint position data
let joints = {
    "position": {
       "data": [

Forging the future

From groundbreaking AI research with the Advanced Robotics Manufacturing Institute (AIM), to cutting edge research into the industrial metaverse, READY Labs is pioneering new ways to optimize and interact with industrial robots.

Building data-driven robotics applications

Robotics for the smartphone generation

What if your robot can automatically improve its program, and help you to write it?

Building data-driven robotics applications

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Get the latest updates on projects, example and source code as well as exclusive early beta access to products.


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