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Traditional tokenization methods for robotic actions struggle with high-frequency, dexterous tasks due to redundancy and inefficiency. Inspired by JPEG compression, Physical Intelligence has developed a compressed action representation that accelerates VLA model training 5x.

The Humanoid Hub

108,094 subscribers

26,198 views • 1 year ago •via X (Twitter)

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The Humanoid Hub1 year ago

More details in this thread:

UserInterface2 years ago

Unveiling the Future of Prompt Engineering for Better AI Interactions #tech

navuud1 year ago

How does one build a laundry robot like this at home 😁

Brian Bellia1 year ago

So, does this mean the end of teleoperation as a means of training humanoids? I hope it spells the end of teleoperation, period. At this stage, it should be autonomous or nothing - except in rare cases like Optimus catching a ball.

The Humanoid Hub1 year ago

The DROID dataset they using for training is generated with teleop

Disarm.AGI.UBI1 year ago

Give'm some practice. They will get better.

Rethynk AI1 year ago

Really like the way it put the 2nd on the top of the first. After intellectual capital, machines are getting better understanding of physical environment.

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