Categories: FAANG

Scaling up learning across many different robot types

We are launching a new set of resources for general-purpose robotics learning across different robot types, or embodiments. Together with partners from 34 academic labs we have pooled data from 22 different robot types to create the Open X-Embodiment dataset. We also release RT-1-X, a robotics transformer (RT) model derived from RT-1 and trained on our dataset, that shows skills transfer across many robot embodiments.
AI Generated Robotic Content

Recent Posts

Introducing Claude Fable 5.1 on AWS

Today, we’re excited to announce the availability of Claude Fable 5.1 on Amazon Bedrock and…

23 hours ago

The Range Rover Electric: Specs, Price, Availability

After long delays, JLR’s biggest gamble with its Range Rover brand is here with huge…

24 hours ago

A new kind of AI that does its thinking cheaply without words

There may soon be a new kind of artificial intelligence in town, one that uses…

24 hours ago

Connect an AgentCore Runtime hosted MCP server to Amazon Quick

Model Context Protocol (MCP) servers allow foundation models to access external data and tools, supporting…

2 days ago

The Best Labor Day Mattress Deals on Beds We’ve Tried in Our Homes

It’s one of the best times of the year to buy a mattress, and our…

2 days ago

A “quantum bath” puts quantum entanglement on autopilot

Physicists have demonstrated a new way to entangle distant quantum bits without the constant measurements…

2 days ago