AI Robotics for the Real World

At Covariant we are committed to research and development that will bring AI Robotics to the real world. As a part of this, we believe it's important to educate individuals on how these exciting innovations will make a positive, fundamental and global impact for years to come.
In this presentation, our co-founder Pieter Abbeel breaks down his thoughts on the current state of play for AI robotics.

[@jzforde]

Pieter explains the history of computer vision and reinforcement learning so well! Thanks for taking the time to explain these concepts clearly!

[@dinarwali386]

This is just brilliant and simple explanation of probably the most intricate phenomena out there. Fascinating!

[@wlorenz65]

As soon as there is contact, a robot has to make its decisions mainly based on touch and no longer just on vision. Of course, you can ignore that if your solution has to work only in the narrow suck-and-place niche, but it won't scale to the general setting where the robot has to perform dexterous manipulations on deformable objects and use tools which were made for human hands.

[@lllario]

Such underrated content! Very well explaint. Thx for sharing.

[@rojas70]

Could you comment on how to best think about training in industrial settings? And also how to modify the speed of robots when working with DRL?

[@ianmalloy3744]

AWESOME!!!

[@jackgame8841]

please more talk from pieter abbeel

[@hoaxuan7074]

AI462 neural networks on Google and Ankit Patel Breaking Bad on YT.

[@medievalgarden4077]

Someone should teach robots to pick up plastic

[@benschulz9140]

This is going to revolutionize recycling.

[@Werewulff333]

Lol I thought he was the robot