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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 次观看 • 1 年前 •via X (Twitter)

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The Humanoid Hub 的头像

The Humanoid Hub1 年前

More details in this thread:

UserInterface 的头像

UserInterface2 年前

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

navuud 的头像

navuud1 年前

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

Brian Bellia 的头像

Brian Bellia1 年前

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 Hub 的头像

The Humanoid Hub1 年前

The DROID dataset they using for training is generated with teleop

Disarm.AGI.UBI 的头像

Disarm.AGI.UBI1 年前

Give'm some practice. They will get better.

Rethynk AI 的头像

Rethynk AI1 年前

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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Scaling vision-language-action (VLA) models to high-DoF dexterous hands has long been a "holy grail" challenge due to the high-dimensional action space and data scarcity. As a wrap up of the year 2025, we are releasing GR-Dexter, a holistic hardware-model-data framework for generalist manipulation on a bimanual dexterous-hand robot. This is the first VLA system to achieve: ✅ High-DoF Control: Managing a 56-DoF bimanual system (21-DoF per hand). ✅ Long-Horizon Tasks with tool use: Vacuuming, bread serving with tongs, and table decluttering. ✅ Open-World Generalization: Robust performance with unseen objects and abstract instructions. Project page: ArXiv:

Scaling vision-language-action (VLA) models to high-DoF dexterous hands has long been a "holy grail" challenge due to the high-dimensional action space and data scarcity. As a wrap up of the year 2025, we are releasing GR-Dexter, a holistic hardware-model-data framework for generalist manipulation on a bimanual dexterous-hand robot. This is the first VLA system to achieve: ✅ High-DoF Control: Managing a 56-DoF bimanual system (21-DoF per hand). ✅ Long-Horizon Tasks with tool use: Vacuuming, bread serving with tongs, and table decluttering. ✅ Open-World Generalization: Robust performance with unseen objects and abstract instructions. Project page: ArXiv:

Xiao Ma

94,111 次观看 • 8 个月前

🚀 First step to unlocking Generalist Robots! Introducing 🤖LAPA🤖, a new SOTA open-sourced 7B VLA pretrained without using action labels. 💪SOTA VLA trained with Open X (outperforming OpenVLA on cross and multi embodiment) 😯LAPA enables learning from human videos, unlocking potential for robotic foundation model ❗Over 30x pretraining efficiency for VLA training 🤗Code and checkpoints are all open-sourced!

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33,345 次观看 • 1 年前

Really excited to share what I've been working on with my colleagues at Physical Intelligence! We've developed a prototype robotic foundation model that can fold laundry, assemble a box, bus a table, and many other things. We've written a paper and blog post about it. 🧵👇

Really excited to share what I've been working on with my colleagues at Physical Intelligence! We've developed a prototype robotic foundation model that can fold laundry, assemble a box, bus a table, and many other things. We've written a paper and blog post about it. 🧵👇

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114,997 次观看 • 1 年前

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The Humanoid Hub

11,575 次观看 • 7 个月前

Thrilled to announce my company Scout AI has officially emerged from stealth At Scout, we’re building the robotic foundation model for defense, bringing Silicon Valley physical intelligence to the U.S. military Several updates to share: → We raised an oversubscribed $15M seed round led by Align Ventures and Booz Allen Ventures → We’re unveiling Fury – the first Vision-Language-Action (VLA) foundation model purpose built for defense robotics → We have been selected for two DoD contracts to deploy Fury Giddy up 🫡🇺🇸

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131,585 次观看 • 1 年前

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hafftka

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The Humanoid Hub

35,204 次观看 • 7 个月前

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Ning Ding

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AI at Meta

163,490 次观看 • 1 年前

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44,878 次观看 • 1 年前

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20,071 次观看 • 1 年前

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Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,249 次观看 • 6 个月前

What if robots could improve themselves by learning from their own failures in the real-world? Introducing 𝗣𝗟𝗗 (𝗣𝗿𝗼𝗯𝗲, 𝗟𝗲𝗮𝗿𝗻, 𝗗𝗶𝘀𝘁𝗶𝗹𝗹) — a recipe that enables Vision-Language-Action (VLA) models to self-improve for high-precision manipulation tasks. PLD couples real-world residual reinforcement learning with standard supervised fine-tuning — letting robots discover, recover, and distill their own data flywheel. Quick 🧵

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Robotic vascular anastomosis demands precision. Training should reflect that. We developed a perfused simulation model with pulsatile flow that recreates physiologic hemodynamics, allowing residents and surgeons to practice before entering high-stakes surgeries. Structured. Measurable. Reproducible. Scalable. #RoboticSurgery #Robotics #SurgicalEducation #MedEd #Simulation #Transplant #TransplantSurgery #AcademicSurgery #SurgicalInnovation #MinimallyInvasive #RoboticTraining #FutureOfSurgery ASTS AHPBA IHPBA BIDMC Department of Surgery Harvard Medical School BIDMCTransplant Intuitive

Martin Dib

73,143 次观看 • 6 个月前