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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 просмотров • 1 год назад •via X (Twitter)

Образование Здоровье и велнес Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 7

Фото профиля The Humanoid Hub

The Humanoid Hub1 год назад

More details in this thread:

Фото профиля UserInterface

UserInterface2 лет назад

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

Фото профиля navuud

navuud1 год назад

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

Фото профиля Brian Bellia

Brian Bellia1 год назад

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.

Фото профиля The Humanoid Hub

The Humanoid Hub1 год назад

The DROID dataset they using for training is generated with teleop

Фото профиля Disarm.AGI.UBI

Disarm.AGI.UBI1 год назад

Give'm some practice. They will get better.

Фото профиля Rethynk AI

Rethynk AI1 год назад

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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