May 26, 2022 • 1HR 23M

Max Braun: Teaching Robots to Help People in their Everyday Lives

A conversation with Max Braun, who leads the AI and robotics software engineering team at Everyday Robots in the quest to create robots that can learn to help people in their everyday lives

 
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Appears in this episode

Andrey Kurenkov
Interviews with various people who research, build, or use AI, including academics, engineers, artists, entrepreneurs, and more.
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In episode 27 of The Gradient Podcast, Andrey Kurenkov speaks to Max Braun, who leads the AI and robotics software engineering team at Everyday Robots, a moonshot to create robots that can learn to help people in their everyday lives. Previously, he worked on building frontier technology products as an entrepreneur and later at Google and X. Max enjoys exploring the intersection of art, technology, and philosophy as a writer and designer. 

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Outline:

  • (00:00) Intro

  • (01:00) Start in AI

  • (5:45) Humanoid Research in Osaka

  • (8:45) Joining Google X

  • (12:15) Visual Search and Google Glass

  • (15:58) Academia Industry Connection

  • (18:45) Overview of Robotics Vision

  • (26:00) Machine Learning for Robotics

  • (32:00) Robot Platform

  • (38:00) Development Process and History

  • (43:35) QT-Opt

  • (49:05) Imitation Learning

  • (55:00) Simulation Platform

  • (59:45) Sim2Real

  • (1:07:00) SayCan

  • (1:14:30) Current Objectives

  • (1:17:00) Other Projects

  • (1:21:40) Outro

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