Home

Vision

Journey

Thinking

Technology

Join us

Team

Menu image

Connect

Google

Alphabet

Privacy & Terms

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.

[pageTitle] | [siteTitle]

Alexander Herzog, Roboticist

RT-1 Hero

RT-1: A new leap in robot learning, at scale

Research

News

Vincent Vanhoucke, Distinguished Scientist and Head of Robotics at Google Research

rt1 mosaic comp cut 1

Helping robots learn from each other

Keerthana Gopalakrishnan and Kanishka Rao, Google Research, Robotics at Google

RT-1 animation (online-video-cutter.com)

RT-1: Robotics Transformer for real-world control at scale

One step closer shot V3

Making robots more helpful with language

Brian Ichter and Karol Hausman, Research Scientists, Google Research, Brain Team

Human + robot illustration

Towards helpful robots: Grounding language in robotic affordances

Mrinal Kalakrishnan, Robot Learning Lead

Hero team screenshot

PaLM-SayCan: Towards robots that can understand us

Catie Cuan

Robots dancing with Catie Cuan

Experiments & Explorations: Robots as Musical Instruments

Ikechukwu Uchendu

Ted Xiao

Robot sorting in real and sim 

Efficiently Initializing Reinforcement Learning With Prior Policies

Chelsea Finn

Eric Jang

Robot sorting objects that it has learned from this new research. 

Can Robots Follow Instructions for New Tasks?

Mengyuan Yan

Yao Lu

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale

Combining RL + IL at Scale

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? 