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

One step closer shot V3

Making robots more helpful with language

Research

News

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

Zhuo Xu

COCOI

Pushing Objects in 3D

Alexander Herzog

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control

Can Robots Think and Move? 

Mohi Khansari

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)

Sergey Levine

Large-scale data collection with an array of robots

Deep Learning for Robots: Learning from Large-Scale Interaction