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Everyday Robots

Born from X, and working alongside teams at Google, we’re building a new type of robot. One that can learn by itself, to help anyone with (almost) anything.

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Daniel Ho

Kanishka Rao

RetinaGAN

Shortening the Sim to Real Gap

Research

Benjie Holson

puppeteering

A Puppet and a Robot walk into a Moonshot Factory

Culture

Zhuo Xu

COCOI

Pushing Objects in 3D

Mohi Khansari

Action-Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data

Action-Image: Teaching Grasping in Sim 

Alexander Herzog

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control

Can Robots Think and Move? 

Hans Peter Brøndmo

Introducing Everyday Robots

Introducing the Everyday Robot Project

News

Team members in dialogue

Robotics is a team sport

Learning Latent Plans from Play

Alex Irpan

Peter Pastor

Scalable Deep Reinforcement Learning for Robotic Manipulation

Scalable Deep Reinforcement Learning from Robotic Manipulation (QT-Opt)

introducing-everyday-robots

Inside robotics at X

Sergey Levine

Large-scale data collection with an array of robots

Deep Learning for Robots: Learning from Large-Scale Interaction