Why Is Robot Data Still Far Behind Tesla's Driving Data?
Josh Gao says robot training data is still many orders of magnitude behind the video Tesla collected for driving. Sonya Huang asks how much has been collected, and how much still has to be collected.
The field has reached the millions of hours, up from the Ego4D set of 4,000 hours two years earlier. He calls that jump a huge step up. Tesla spent more than a decade on two degrees of freedom, acceleration and direction, with millions of cars on the road and more than a few million hours of video. A robot hand has dozens of degrees of freedom. Relative to that driving record, the robotics field is still many orders of magnitude from where it has to be.
Inside the Robot Data Factory: Mecka's Josh Gao on Sensorizing Humans to Train Robots ·