Aug. 16, 2022, 2:02 p.m. | Google AI (noreply@blogger.com)

Google AI Blog ai.googleblog.com

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

Over the last several years, we have seen significant progress in applying machine learning to robotics. However, robotic systems today are capable of executing only very short, hard-coded commands, such as “Pick up an apple,” because they tend to perform best with clear tasks and rewards. They struggle with learning to perform long-horizon tasks and reasoning about abstract goals, such as a user prompt like “I …

language machine learning nlp robotics robots

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Strategy & Management - Private Equity Sector - Manager - Consulting - Location OPEN

@ EY | New York City, US, 10001-8604

Data Engineer- People Analytics

@ Volvo Group | Gothenburg, SE, 40531