Robotics Embodiment: AI News Week Ending 09/04/2026

Every week, I organize 400 to 700 links into roughly 60 categories as part of my ongoing effort to learn about AI. This is my personal notebook, which I enjoy sharing with friends… a hobby and a labor of love, rather than a commercial publication or product.

If you arrived here through a search or shared link, this page collects the links I found for Robotics Embodiment for the week ending September 4, 2026.

As part of my learning process, I like to automate the category covers. It gives me a chance to learn Python and APIs.

This week’s cover prompt was written using Claude Opus 4.7, and the image was generated using Nano Banana 2.1.

Category Cover Image Prompt: Psychedelic screen-printed gig poster of a humanoid robot mid-dance with multiple trailing arm echoes morphing into swirling op-art ribbons, chest panel blooming open with gears and curling vines, harvest moon and falling leaves in an ornate border, bold hand-lettered 'Robots' title arcing across the top in 1960s Fillmore revival script, flat ink layers in electric magenta acid orange deep teal and cream with lime green accents, visible paper texture and slight registration offset, vertical poster composition.

This Week in Robotics Embodiment News

Summary by Claude Sonnet 5.5 based on this week’s links:

World Labs' Atlas and real2sim: World Labs launched Atlas, a world model that generates frames with precise camera control and reconstructs them in 3D. Co-founder Justin Johnson predicted it could train a robot for a new environment from about five phone photos, and Yunzhu Li showed a demo that simulates robots navigating a space captured from casual photos.
Runway's GWM Worlds 2: Runway released GWM Worlds 2, which it says is the first world model with a general action space, combining navigation, manipulation and human interaction. Runway's CEO described world models eventually becoming the training environments for everything, and said Runway is already using it for evaluation.
Figure bets on compute: Figure announced a deal with Nscale to deploy up to 100,000 NVIDIA Vera Rubin GPUs, committing $3.5 billion initially and planning to pass $6 billion. The company says putting a robot in every home requires that scale of data and compute.

This summary was generated by Claude Sonnet 5.5 to help you explore the links below. Rest assured, I select, organize, and check the links by hand in Google Sheets, and write the introduction and personal commentary in The Main Newsletters myself each week as a labor of love.

This week's links related to Robotics Embodiment

Humanoid robots are the ultimate deployment vector for AGI Figure will soon have unprecedented data and compute. We’re hiring so come join us
https://x.com/adcock_brett/status/2095555087510937751

@DrJimFan @theworldlabs Indeed Jim, a camera conditioned world model with spatial context has so much horizontal usage including real2sim for robotics!
https://x.com/drfeifei/status/2094910083444707551

@theworldlabs Amazing work! Great step towards real2sim for robotics!
https://x.com/DrJimFan/status/2094905169460736291

NEW WORLD MODEL: @ylecun’s team is back with an efficient model! This project involves @ylecun, @lukaskuhn77, @lucasmaes_, @quentinlldc, and @randall_balestr. A couple definitions first: – DINO: self-DIstillation with NO labels. A self-supervised image model (Meta, 2021) where
https://x.com/LeoKharon/status/2094395060636803122

Another glimpse of Real2Sim with Atlas: capture a real environment with just a number of casual photos from a phone, turn them into a sim, then simulate diverse robots navigating different trajectories. Atlas generates the RGB and depth observations they would see along the way.
https://x.com/YunzhuLiYZ/status/2094926835649790103

Cool update by World Labs; I’m most stoked about doing large scale 3d reconstruction using a sparse set of images. That way you capture what’s most important to get right, and AI fills in the rest of the gaps in the scene.
https://x.com/bilawalsidhu/status/2094853004826452337

Introducing Atlas: The world’s first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
https://x.com/theworldlabs/status/2094839756329041984

our new model Atlas also happens to be a capable text-to-image generator, providing it with a strong foundation of “world knowledge”… this generalizes across both single and multi view domains, meaning you can step into even highly stylized scenes with precise 3D control
https://x.com/BenMildenhall/status/2094859820100952575

World Labs co-founder @jcjohnss predicts a real-to-sim-to-real future where Atlas could train a robot for any new environment in minutes using just 5 photos from your phone: “One is this notion of fully in-context learning. Maybe I’ve got a robotics foundation model, then I can
https://x.com/MTSlive/status/2094950206240600308

Today, we’re sharing new research on Solaris, our first Interface World Model. Solaris is a new kind of operating system that generates interactive interfaces frame by frame, in real time, with no code. We find that Solaris outperforms frontier LLMs when generating new
https://x.com/runwayml/status/2094463070466646019

At the limit, world models will become the RL environments for everything. Excited to announce GWM Worlds 2, the first world model with a general action space, merging navigation, manipulation and human interaction in one model. We’re already using it to evaluate
https://x.com/agermanidis/status/2095597719574466676

Atlas is live! A spatial foundation model, trained in-house from scratch. After shipping RTFM last year, I was convinced a single camera-conditioned model could unify most spatial generation tasks. Atlas is that bet at scale. The core idea👇
https://x.com/KeunhongP/status/2094840790061301795

Atlas: A World Model for Spatial Intelligence | World Labs
https://www.worldlabs.ai/blog/atlas

I’m so excited that our @theworldlabs team has achieved a major milestone today! Introducing Atlas – a first of its kind multimodal world model trained from scratch! 🚀 Atlas is capable of generating frames with pixel-perfect camera control, reconstructing large scenes from as
https://x.com/drfeifei/status/2094840371675283673

Runway Research | Introducing GWM Worlds 2
https://runway.com/research/introducing-gwm-worlds-2

Two of us filmed this on a couple phones, and we used Atlas to turn it into a short film. This is just a clip from the @theworldlabs tech blog Atlas is able to generate the parts of the scene that none of the cameras actually filmed. It can freeze time, allowing you to reframe
https://x.com/davidpantera_/status/2094841083805266401

I don’t know if you really understand what these people just did… They built an AI that looks at a few casual real-world videos or photos and instantly turns them into a full 3D playground. You can MOVE THE CAMERA HOWEVER YOU WANT, change the lighting, move objects around,
https://x.com/IlirAliu_/status/2095058646673613045

Sam Altman on the Sources Podcast: OpenAI ‘will definitely do humanoids.’ It lines up with OpenAI’s actual moves: • It’s been building an in-house robotics team, with 33 roles currently open in SF, spanning actuator design, data-acquisition ops and embodied AI. • OpenAI
https://x.com/TheHumanoidHub/status/2095208025678315937

This is good for everyone building and open source. Congrats @JensenHuang and @ClementDelangue
https://x.com/adcock_brett/status/2095603232458567917

Today, Figure is partnering with Nscale to deploy up to 100,000 GPUs on the NVIDIA Vera Rubin Platform We’re committing $3.5 billion initially, with plans to scale beyond $6 billion To ship a robot into every home, we need a massive amount of compute
https://x.com/adcock_brett/status/2095499534940185022

Training general-purpose humanoids will need unprecedented compute capacity, and Figure is stacking the chips. Figure, with cloud partner Nscale, is deploying up to 100,000 NVIDIA Vera Rubin GPUs. It’s committing $3.5 billion initially, with plans to scale to $6+ billion.
https://x.com/TheHumanoidHub/status/2095554390933549068

Nvidia is now a humanoid robot designer. That’s the real takeaway from this news. Nvidia is acquiring Hugging Face for $12.93B. Hugging Face is the largest open-model and dataset hub, the “GitHub of AI,” with 3M+ models and 18M+ developers, robotics included. But here’s the
https://x.com/TheHumanoidHub/status/2095543869245108681

⚡ Fine-tune and quantize AI models directly on NVIDIA Jetson. Our new Jetson AI Lab tutorial shows how to use Unsloth and memory-efficient QLoRA to customize models, export quantized GGUF files, and run them locally with llama.cpp. Follow hands-on examples for: 🔹 NVIDIA
https://x.com/NVIDIARobotics/status/2094480283135316182

Folding towels is a real operational bottleneck. We fold around 3,600 towels a day and Dyna is meeting that throughput.” – Hotel Manager, Best Western Get ready for exponential growth in commercial robot deployments.
https://x.com/TheHumanoidHub/status/2093387536962076683

AIエージェントに身体を与える卓上型AIロボット「Palmimo DevKit」、本日より先行販売を開始します！目・耳・口・顔・脚、そして知性。数行のPythonで動き、頭脳のAIは差し替え自由。ロボットやハードウェアの知見がなくても、自分のアプリケーションでロボットを動かせます。
https://x.com/maze_rapid/status/2095294835364364337

just had a quick look at microduck_rl the codebase is very elegant, i’d recommend reading the agent.md since it contains quite a few fun quirks for reward modeling like head tracking too tight impairs walking cause the head is 38% of the duck’s weight, so it naturally
https://x.com/pham_blnh/status/2093174412568842489

Its kind of a bummer that Asimov’s Three Laws of Robotics do not work for actual AI morality. But the failure shows why rule-based approaches won’t work. (and Asimov wanted to write stories about how robots got around the Laws, so their failure was a good thing for his plots)
https://x.com/emollick/status/2094302639072715023

Must-read papers of the week ▪️ From Generation to Simulation: How Far Are World Models from Being True Simulators? ▪️ Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning ▪️ Can Video World Models Track Unobserved World States? ▪️
https://x.com/TheTuringPost/status/2094942136865333544

We are sharing a major update to our General World Models efforts. GWM Worlds 2 can generate full, interactive, real-time video simulations in one continuous 720p stream at 24 fps and audio at 48000 Hz, responding to your inputs as you explore. It is the first world model that
https://x.com/c_valenzuelab/status/2095548906281042144

I’m particularly excited by Atlas’s ability to reconstruct scenes from a very small number of input image — was able to create this flythrough of London’s Natural History Museum by combining 3 input images I found from completely separate sources on Google Images
https://x.com/BenMildenhall/status/2094891871730581609

When @ylecun, @demishassabis, and @drfeifei talk about building world models, what do they mean? → They want AI systems that can build an internal map of their surroundings to anticipate what happens next. But that doesn’t mean they’re building the same machine. @kseniase is
https://x.com/TheTuringPost/status/2094573808006938746

One image. A world to train in, shoot in & explore. 🌍 👀Meet HYPER3D #WorldGen: independent foreground meshes + #3DGS background, built for interaction. For robotics🦾, film🎬, games🎮, DCC💎 & XR. 🔥Powered by our Best Paper Award Project 「CAST」. Let’s Connect the Dots⬇️
https://x.com/DeemosTech/status/2094440163246256523

You are broke, but you wanna do teleop?? How about some open-source, low-cost, 3D-printed leader arm… to teleoperate an SO-ARM? Here you go:
https://t.co/2RUEW7VrHU Tag your favourite open-source project below.👇 And thanks to @LeRobotHF for building this amazing robotics
https://x.com/IlirAliu_/status/2093761096863907947

kausable is building AI systems that can adapt when the world changes. Next week I have @JohannesHaux, co-founder and CEO of kausable, on the podcast. They are building in Heidelberg, right in the wider @Cyber_Valley ecosystem. And with Cyber Valley turning 10 on September 9,
https://x.com/IlirAliu_/status/2093972489823269073

The untold reason Jensen bought Hugging Face: Microduck is just too cute.
https://x.com/TheHumanoidHub/status/2095614659416232034

Congrats to Parkway Venture Capital for #1 on the emerging VC ranking! Parkway was the first to back Figure and has been a great partner
https://x.com/adcock_brett/status/2094886658625994978

Four years ago, @Figure_robot didn’t even have a robot. Today, it’s valued at $39B, has built 1,000+ humanoids, deployed robots at BMW, built its own AI models, manufacturing infrastructure and a global data collection network. What impresses me most is the speed. Figure isn’t
https://x.com/Biti8888/status/2094400910722048216

Putting an intelligent, general purpose robot in every home will require massive scale in both data and compute. Today, Figure announced a $3.5 billion deal to scale Helix 🧬 to up to 100,000 Vera Rubin GPUs. There’s never been a better time to join Figure.
https://x.com/coreylynch/status/2095544202797179223

That figure comes from multiplying current monthly ad revenue by 12, so it’s a snapshot of where things stand today rather than money already booked over a full year.
https://x.com/Digiday/status/2094523148813074885

After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now. Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location
https://x.com/DynaRobotics/status/2093039146357178475

From robot learning to chip design to AI security, Stanford faculty @sanmikoyejo, @chelseabfinn, and @Azaliamirh are shaping where AI goes next. Congratulations to these three on being named to the TIME AI 100!
https://x.com/StanfordHAI/status/2093400526859993210

20 years in. See you in 20 more
https://x.com/adcock_brett/status/2095365282059673783

fwiw, one thing that really helps: Figure is crazy vertically integrated. Robot hardware design, AI models, manufacturing, all done on our campus
https://x.com/adcock_brett/status/2094462666798723307

I’m watching Helix doing things you wouldn’t believe Figure is going all-in
https://x.com/adcock_brett/status/2095627318593229050

A ottobre porto a Torino un piccolo gruppo dell’ecosistema robotico italiano. Durante Wave byVento (ex Italian Tech Week) ospito un side event @22Astronauts_: Costruire il futuro dell’industria italiana con la robotica Torino, 8 ottobre L’idea è semplice: riunire founder,
https://x.com/IlirAliu_/status/2095210396613304634

A robot in Tübingen is learning to pick tomatoes by watching humans. A few days ago, I spoke with Martin Kiefel, co-founder of polybot. Ahead of @Cyber_Valley 10th anniversary on September 9, I’m spending time with some of the people building the next generation of AI and
https://x.com/IlirAliu_/status/2094334877982461979

AI systems are impressive until something happens that was not in the training data. Next week @Cyber_Valley turns 10, and I am helping them to showcase people and companies from the ecosystem, that are working on todays problems. I recently sat down with Johannes Haux,
https://x.com/IlirAliu_/status/2095572785233866893

Germany produces around 86 million tonnes of construction and demolition waste every year. A surprising amount of the quality control still relies on samples, visual inspection and someone making a judgement call about what is actually sitting in front of them. @optocycle is
https://x.com/IlirAliu_/status/2095134899749753292

X Square Robot has introduced TwinDEX: a co-designed pair of three-finger, 9-DoF dexterous hands, one wearable for data collection, one matched robot end effector for deployment. The wearable and the robot hand share the same kinematics, geometry, materials, look, and sensors,
https://x.com/TheHumanoidHub/status/2095178516639969778

This time I brought a camera into the @viamrobotics lab in New York. I’ve been visiting robotics companies for a while, and I want to start showing more of what I actually see when I’m there. The labs are usually much more interesting than the polished videos you see online.
https://x.com/IlirAliu_/status/2094123484695949385

Asimov 1 has begun first shipments. The DIY kit is aimed at developers, researchers and hobbyists who want an affordable humanoid platform. Total assembly time is estimated at around 20 hours. Price: $20k.
https://x.com/TheHumanoidHub/status/2094472778087113164

Born for Industry. Built for Real Production. Industrial intelligence only creates value when it can operate reliably on the production floor. Lumos MOS 2 is designed for real-world industrial work, with the flexibility to handle tasks ranging from quality inspection and
https://x.com/LumosRobotics/status/2092930130540945841

Demos are easy. Deployment is hard. Lumos put MOS 2 on Mitsubishi Electric’s PLC production lines. Cart carrying, quality inspection, box handling, screwdriving and coordination across multiple robots. The robot is built for industrial scenarios that need wheeled mobility
https://x.com/TheHumanoidHub/status/2093391401551872314

Humanoid decathlon without major repairs mid-event will be more fun to watch than F1.
https://x.com/TheHumanoidHub/status/2093515766427681143

I spent a day in @viamrobotics lab in New York this June. Arms on the floor. A UR20 running a sanding cell. Printers in the back. Engineers using the same software they ship to customers. Viam is the software layer. @eliothorowitz started it after @MongoDB. The bet is that
https://x.com/IlirAliu_/status/2093406365934920117

New robot behavior in ~10 minutes instead of a day. I mean, if a cell doesn’t move for weeks because one part changed… you are screwed! Now imagine this: A worker grabs the arm when it gets the motion wrong, guides it through the real step, and the system retrains on that
https://x.com/IlirAliu_/status/2094848260477472906

Thanks for all the book recommendations a couple of days ago. The comments were pretty consistent: Before talking about “transforming manufacturing,” most people say I should read The Goal by Goldratt. A lot of you called it the foundation everything else builds on. Other
https://x.com/IlirAliu_/status/2094878459432505776

This was 25 years ago. I often think about that.
https://x.com/IlirAliu_/status/2094485872267989094

this. is. genius
https://x.com/IlirAliu_/status/2095240500869509418

Today we shipped the first Asimov 1 robots. Less than a year ago this was a few design files sketched on a napkin. Now it’s on the way to 20+ countries. Thanks for being early and crazy enough to think a top-tier humanoid is something you can build yourself. Keep going.
https://x.com/asimovinc/status/2094407734058004580

We’ve had Beni for a couple of months now, and one word comes to mind: delightful. The standout part was the hardware robustness. Our kids get rough with it, obstacle courses on concrete, dirt, collisions. It tumbles, gets back up, and it’s scratched all over, but it has never
https://x.com/TheHumanoidHub/status/2095226910733435006

What if a dexterous robot could learn a 20+ step chemistry experiment without a single on-robot training demo? Meet TwinDEX: a pair of co-designed, three-finger, nine-DoF dexterous manipulation interface: one wearable for data collection, one for robot deployment. The twinned
https://x.com/XSquareRobot/status/2095072018672779455

When Will a Humanoid Break the Decathlon World Record? Here’s why that question matters 1. The decathlon is the closest thing to a real fitness test for a humanoid body, 10 events, 1 machine, 0 swaps, which also compares to human performance 2. It demands nearly every hard
https://x.com/GoingBallistic5/status/2093506035499548754

Sneak peak at Microduck’s monitoring tool, running fully on device ! You can see a visualization of the little ToF sensor in its head
https://x.com/antoinepirrone/status/2093259394909642758

Today, robots learn by copying humans (“imitation”). That works for easy tasks. But on precise ones? IF you are into robots that quietly get better from their own mistakes instead of waiting for more human demos… This is for you.👇 (📌 GitHub below) Like sliding a credit
https://x.com/IlirAliu_/status/2093609095152456055

watch all the accounts rn who have absolutely no clue what the difference between “model architecture” (latent space manipulation) vs “thinking traces” (model output) actually are
https://x.com/suchenzang/status/2095011605843235219

Look at Ashok’s shirt! Are we going to see the new Optimus today?
https://x.com/TheHumanoidHub/status/2095629914234044776

Jason Calacanis, after watching the Optimus videos Elon sent him recently: “He’s making sick progress. ” “It’s like whoa, Optimus will be the best-selling product.”
https://x.com/TheHumanoidHub/status/2093801735777288575