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Anyone skeptical about AI’s ability to perform diverse physical tasks should watch this. Physical Intelligence's π₀ model in action: 18 minutes of bimanual robots autonomously handling complex, dexterous chores.

The Humanoid Hub

108,805 subscribers

210,404 次观看 • 1 年前 •via X (Twitter)

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11 条评论

Victor 的头像

Victor1 年前

watching robots do chores is the new asmr... kinda therapeutic

David Cantone 的头像

David Cantone1 年前

It may not be the best right now, but at least it can work 24 hours a day.

The Humanoid Hub 的头像

The Humanoid Hub1 年前

This is only the initial version with a small team working for just 8 months. The proof of existence is real. The next couple of years will be crazy exciting for foundation models.

Larry Panozzo 的头像

Larry Panozzo1 年前

It’s trying to use one heuristic and it fails many times over and over, stuck making no progress. If the heuristic works then yeah it folds nicely.

The Humanoid Hub 的头像

The Humanoid Hub1 年前

Corrections and recoveries are an emergent feature of pre-training on a large, diverse dataset.

Shane McGrath 的头像

Shane McGrath1 年前

Leaders in the field

MR MR 的头像

MR MR1 年前

Looks teleoperated

Nicholas Shanks 的头像

Nicholas Shanks1 年前

This looks teleoperated by a child.

Robert Newton @robertnewton.bsky.social 的头像

Robert Newton @robertnewton.bsky.social1 年前

I don't understand your point. the robot did a terrible job of folding those clothes.

Vlad 的头像

Vlad1 年前

it's tele operated obviously

The Humanoid Hub 的头像

The Humanoid Hub1 年前

@vzhidkovUSA It's all autonomous. The model is fine-tuned with carefully curated high-quality examples of humans operating the robot in the same settings. This induces the desired pattern of movements and dexterity similar to those in the human operated dataset.

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Exciting progress on Vision-Language-Action models from a collaboration between San Francisco-based Physical Intelligence (π) and China’s AGIBOT: (π)’s single model can autonomously perform diverse tasks on the AGIBOT G1 robot, using both humanoid hands and two-finger grippers.

Exciting progress on Vision-Language-Action models from a collaboration between San Francisco-based Physical Intelligence (π) and China’s AGIBOT: (π)’s single model can autonomously perform diverse tasks on the AGIBOT G1 robot, using both humanoid hands and two-finger grippers.

The Humanoid Hub

32,575 次观看 • 1 年前

Physical Intelligence's π₀, a general-purpose robot foundation model that combines Internet-scale vision-language pretraining with robot interaction data to execute tasks. They aim "to develop foundation models that can control any robot to perform any task" Autonomous demos:

Physical Intelligence's π₀, a general-purpose robot foundation model that combines Internet-scale vision-language pretraining with robot interaction data to execute tasks. They aim "to develop foundation models that can control any robot to perform any task" Autonomous demos:

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Ray Kurzweil says AI models will exceed human verbal ability in a year or two and the next step is large event models that enable robots to perform physical tasks

Ray Kurzweil says AI models will exceed human verbal ability in a year or two and the next step is large event models that enable robots to perform physical tasks

Tsarathustra

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.Lindon Gao, cofounder and CEO of Dyna Robotics, is working on general-purpose foundation models that perform diverse physical tasks at commercial scale. Here’s our chat at CES 2026, while their robot autonomously folded laundry in the background.

.Lindon Gao, cofounder and CEO of Dyna Robotics, is working on general-purpose foundation models that perform diverse physical tasks at commercial scale. Here’s our chat at CES 2026, while their robot autonomously folded laundry in the background.

The Humanoid Hub

36,359 次观看 • 5 个月前

We finished evaluating π0.7, our new model at Physical Intelligence. What I'm most excited about with π0.7 is that it's starting to show some surprising emergent compositional generalization, being able to both perform complex tasks and learn new tasks just from instructions.

We finished evaluating π0.7, our new model at Physical Intelligence. What I'm most excited about with π0.7 is that it's starting to show some surprising emergent compositional generalization, being able to both perform complex tasks and learn new tasks just from instructions.

Sergey Levine

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📢 First contact between a frontier model and robots! Gemini Robotics is a SOTA generalist Vision-Language-Action model bringing frontier model intelligence to the physical world. It's an extremely capable model enabling dexterous, steerable, and general robot control. 🧵⬇️

📢 First contact between a frontier model and robots! Gemini Robotics is a SOTA generalist Vision-Language-Action model bringing frontier model intelligence to the physical world. It's an extremely capable model enabling dexterous, steerable, and general robot control. 🧵⬇️

Ted Xiao

152,413 次观看 • 1 年前

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.

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The Humanoid Hub

26,198 次观看 • 1 年前

At Physical Intelligence (π) our mission is to bring general-purpose AI into the physical world. We're excited to show the first step towards this mission - our first generalist model π₀ 🧠 🤖 Paper, blog, uncut videos:

At Physical Intelligence (π) our mission is to bring general-purpose AI into the physical world. We're excited to show the first step towards this mission - our first generalist model π₀ 🧠 🤖 Paper, blog, uncut videos:

Physical Intelligence

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π-0.5, a model doing long-horizon tasks in real, unseen homes with unseen objects! Physical Intelligence one of my favorites below at 10x sharing a few of my favorite results in thread, with many more detailed ablations in the paper:

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Brian Ichter

11,913 次观看 • 1 年前

Chinese company Robot Era has unveiled their next-gen robot L7, a 5′7″ tall humanoid. The company has also showcased the ERA-42 Vision-Language-Action model running on L7 robot to autonomously execute dexterous tasks.

Chinese company Robot Era has unveiled their next-gen robot L7, a 5′7″ tall humanoid. The company has also showcased the ERA-42 Vision-Language-Action model running on L7 robot to autonomously execute dexterous tasks.

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How to learn dexterous manipulation for any robot hand from a single human demonstration? Check out DexMachina, our new RL algorithm that learns long-horizon, bimanual dexterous policies for a variety of dexterous hands, articulated objects, and complex motions.

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Mandi Zhao

120,280 次观看 • 1 年前

Excited to share our latest progress on DYNA-1 pre-training! 🤖 The base model now can perform diverse, dexterous tasks (laundry folding, package sorting, …) without any post-training, even in unseen environments. This powerful base also allows extremely efficient fine-tuning to ~100% success on challenging new tasks with as little as 1 hour of data! 🤯 Watch it master two of them: cup stacking & celery chopping on repeat, no failures. 👇

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Her ability to stop herself and then perform so perfectly!! Astounding mental as well as physical!!😊

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Our model can now learn from its own experience with RL! Our new π*0.6 model can more than double throughput over a base model trained without RL, and can perform real-world tasks: making espresso drinks, folding diverse laundry, and assembling boxes. More in the thread below.

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704,452 次观看 • 7 个月前

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