Research

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

by Alexander Herzog, Roboticist

·

Dec 13, 2022

RT-1 Hero
Helping robots learn from each other

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

·

Dec 12, 2022

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

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

·

Dec 12, 2022

Making robots more helpful with language

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

·

Aug 15, 2022

One step closer shot V3
Towards helpful robots: Grounding language in robotic affordances

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

·

Aug 15, 2022

Human + robot illustration
PaLM-SayCan: Towards robots that can understand us

by Mrinal Kalakrishnan, Robot Learning Lead

·

Aug 15, 2022

Hero team screenshot
Experiments & Explorations: Robots as Musical Instruments

by Catie Cuan

·

Jun 30, 2022

Efficiently Initializing Reinforcement Learning With Prior Policies

by Ikechukwu Uchendu, Ted Xiao

·

Apr 06, 2022

Robot sorting in real and sim
Can Robots Follow Instructions for New Tasks?

by Chelsea Finn, Eric Jang

·

Feb 08, 2022

Robot sorting objects that it has learned from this new research.
Combining RL + IL at Scale

by Mengyuan Yan, Yao Lu

·

Jun 19, 2021

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Action-Image: Teaching Grasping in Sim

by Mohi Khansari

·

May 13, 2020

Action-Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
Can Robots Think and Move?

by Alexander Herzog

·

Apr 27, 2020

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
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