Robotics Has Been Stuck for 70 Years — Deepak Pathak, Skild AI

Show a robotics demo from 1957 next to one from today, and most people can't tell which is which.

Deepak Pathak, co-founder and CEO of Skild AI and a professor at Carnegie Mellon, argues robotics stalled because it was treated as a hardware problem rather than a problem of building a general brain. Collecting robot data by teleoperation at one example a minute, he calculates, would take the entire US population more than a century to reach GPT-3 scale. Skild's answer is an "omni-bodied" brain: one model for any robot and any task. It's pre-trained on scalable data like simulation and human video, post-trained on teleoperation, and improved by a deployment flywheel. Pathak shows it inserting AirPods with a simple gripper, learning from human video with under an hour of robot data, and cooking omelets on $4,000 arms with only a camera. He explains why climbing stairs is harder than a backflip. He also shows GPU assembly for NVIDIA's Houston factory, and a robot learning to walk on two legs in three tries after its other legs are disabled.

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