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 August 14, 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: Photorealistic magazine-cover image of a single sleek humanoid robot sitting cross-legged in profile with hands softly folded in its lap, head slightly bowed in quiet rest, on a pale misty plane under a vast dawn sky of soft gray fading to deep cosmic indigo at the edges, one thin thread of warm gold light grazing its shoulder, crisp detail on the robot while the surroundings dissolve into negative space, the bold word Robots set large and clean in the open sky beside it, minimalist fine-art still life, soft diffused long-exposure light, quiet symmetry, no other text or logos.
This Week in Robotics Embodiment News
Summary by Claude Sonnet 5.5 based on this week’s links:
- Human video as robot training data: Dyna Robotics introduced Dyna-2, a world-action model pre-trained on over one million hours of egocentric human video, and reports scaling laws across several orders of magnitude of human data. It learns by predicting the next video frames and the actions together.
- World models for physical scenes: Stanford and NVIDIA's PointWorld-1B is described as a 3D world model that predicts how a whole scene will move from RGB-D input and robot actions. NVIDIA also published WorldTrace, which adds addressable memory to video world models.
- Humanoid hands and real throughput: Brett Adcock said Figure shifted away from designing hands after human hands and called a tendon-based hand his biggest engineering mistake. Separately, X Square reported a fully autonomous parcel-sorting livestream at 1,816 parcels per hour and 98% accuracy.
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
This is an actual recording, end-to-end. Hark is navigating to Target, searching, clicking, & entering secure credit card payment When we started Handoff, our computer-using agent, it was 15 second/turn. We’re now at 5 second/turn & only getting faster!”
https://x.com/adcock_brett/status/2085822671628226793
.@adcock_brett explains why @Figure_robot pivoted away from designing their humanoid robot’s hands after human hands: “This is extremely important. If we want to solve AGI and get to human intelligence in the physical world… it’s all going to start with the hands.” “Our”
https://x.com/sourceryy/status/2086979158496645508
OpenAI’s former robotics lead has joined Anthropic, after resigning on principle over surveillance and lethal-autonomy concerns.”
https://x.com/TheHumanoidHub/status/2087215182200365060
Databricks Grows >80% YoY, Surpasses $7B Revenue Run-Rate, Scales Lakebase, Genie, and Unity AI Gateway – Databricks
https://www.databricks.com/company/newsroom/press-releases/databricks-grows-80-yoy-surpasses-7b-revenue-run-rate-scales
What if a robot could simulate the physical world from a single image. [📍Bookmark Paper & GitHub for later] PointWorld-1B from Stanford and NVIDIA is a large 3D world model that predicts how an entire scene will move, given RGB-D input and robot actions. The key idea is”
https://x.com/IlirAliu_/status/2086151375084265842
WorldTrace: Addressable Memory for Video World Models
https://research.nvidia.com/labs/sil/projects/WorldTrace/
Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws: • world-action models exhibit scaling law on human data across four orders of magnitude, from 1000″
https://x.com/DynaRobotics/status/2086856327150858298
world models are brutal”
https://x.com/dreamingtulpa/status/2086546779852378356
My suspicion is that the recent string of problems – sandbox escapes, 11-figure model companies not realising that the last two releases had wrong measurements – are happening because everyone is vibing their benchmarks. We first noticed this six months ago on external data”
https://x.com/hrishioa/status/2087252719321133298
Unitree’s landmark IPO is here. [宇树科技, ticker 688836] opened subscription on Shanghai’s STAR Market on Aug 10: “Opening public subscription” means investors can now apply to buy shares at the set price. With demand this high, who actually gets shares is decided by lottery,”
https://x.com/TheHumanoidHub/status/2087296846813360149
A missile engineer got tired of mosquitoes… so he built an autonomous drone that hunts them Malaria kills over 600,000 people every year, most of them children under 5, so this could save millions of lives Here’s how it works: > Each drone weighs 40 grams (lighter than a”
https://x.com/rowancheung/status/2086870148091449590
I’ve started using Hark Handoff for scaling our recruiting efforts It takes a new recruiter about 30 days to make a hire from a cold start. This makes the problem really difficult for autonomous computers, as they need to operate over a month-long time horizon Recruiting is”
https://x.com/adcock_brett/status/2087220644811608524
Must-read papers of the week ▪️ EnvACE ▪️ The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows ▪️ SFT Conflicts, RL Coexists ▪️ Addressable Memory for Video World Models ▪️ The Personalization Mirage: How LLMs Fabricate User Profiles,”
https://x.com/TheTuringPost/status/2087141521493787031
Introducing LTX-2.5: The Open World Model for Video, Real-Time, & Physical AI | LTX
https://ltx.io/newsroom/introducing-ltx-2-5
Dyna-2: A 1-Million-Hour Scaling Law for World-Action Models … DYNA
https://www.dyna.co/dyna-2
How well do egocentric human videos scale? Apparently, really well. Dyna Robotics has introduced Dyna-2, a world-action model (WAM) pre-trained on more than 1 million hours of real egocentric human video. It learns by jointly predicting the next video frames and the actions, and”
https://x.com/TheHumanoidHub/status/2086875827296436394
These machines don’t look like they build the future of AI. But they do. What you are seeing is not an industrial robot just move. It is part of the process that makes the world’s most advanced chips possible. TRUMPF laser systems are used to manufacture key components for”
https://x.com/IlirAliu_/status/2086360929302679702
This is one of the more unusual flying robots I have seen. Researchers at the University of Tokyo built DRAGON, a transformable aerial robot that can change its shape while flying. Instead of a rigid frame, it is made of four linked segments. Each segment has two ducted rotors”
https://x.com/IlirAliu_/status/2086723241041670264
Robots don’t need more rules. They need better ways to learn: RL with synthetic data. Group Relative Policy Optimization, or GRPO, is not just another RL trick. It points to a different learning philosophy. Instead of giving a robot one simple reward, GRPO compares many”
https://x.com/IlirAliu_/status/2085998460604473616
X Square ran a fully autonomous logistics livestream: sorting parcels and flipping the barcode side up for the scanner. – 1,816 parcels/hour (~2 seconds per parcel) – 98% accuracy – ~45% higher throughput than Figure’s sub-3 seconds per parcel pace from its multiday livestream”
https://x.com/TheHumanoidHub/status/2087772610411262245
The biggest engineering mistake I made at Figure was building a tendon-based hand Our first hand design in 2022 was a tendon hand for our F.01 robot. At a high level, the tendon approach sounds appealing, which is why I chose it: you get more space for packaging actuators since”
https://x.com/adcock_brett/status/2087927278458327179
„If our robot assembles electronics, then the obvious first use case is to assemble copies of itself.” My conversation with @ihorbeaver, Co-Founder & CEO of MicroFactory: 🎙️ Ep 104 | How to Train 99.9% Reliable Robots for $5 Now backed by Naval Ravikant and Hugging Face CEO”
https://x.com/IlirAliu_/status/2087162618217722048
€2 million for a humanoid robot lab. This is what @Jan_R_Peters asked @TUDarmstad for. In 2019. He got a yes. The robots arrived… in 2023. 🎙️ Ep 106 | “Red Tape Cost Us a 5-Year Lead in Humanoid Robotics” (w/ Jan Peters): Every step in between was correct; legal”
https://x.com/IlirAliu_/status/2087962891328901138
One smartphone at the core of a robot. (📌 Bookmark if you want to make your own) The idea is simple but interesting: use a used smartphone as the main controller for a hobby robot, in this case a hexapod. Instead of adding separate boards and sensors, the phone already brings”
https://x.com/IlirAliu_/status/2087448249657352306
Robots aren’t yet ready for truly general-purpose work in homes and retail. Where they are doing narrow-purpose work, in factory and warehouse, industrial clients would prefer to stay quiet about “automating jobs” to avoid backlash from unions and regulators.”
https://x.com/TheHumanoidHub/status/2087589522129461628
I’ll die on this hill: This could have been Boston Dynamics’ most profitable robot. Absolute money printer.”
https://x.com/IlirAliu_/status/2085636083002282077
Love that my 14 month old Matic still gets major feature drops over the air.”
https://x.com/TheHumanoidHub/status/2088063430951575860
Most robots fail at the last millimeter. That’s where precision, not power, decides everything. I’ve seen production lines where operators still guide fragile parts by hand because robots couldn’t hold the tolerance. This system aims to close that gap. It executes”
https://x.com/IlirAliu_/status/2085788836722786374
Robotics has transformed welding speed. Precision is great, but speed now matters just as much: Balancing quality with speed, especially on pipe, pressure vessel, and roll welding projects. And conventional TIG still lags behind… (Tungsten Inert Gas welding, known for super”
https://x.com/IlirAliu_/status/2086876003654046051
This post from @DynaRobotics dropped yesterday. And boy, if you actually go through the full blog 🔥 🔥 You only look at the technical side of it (engineers L O V E that)… …but once you look at what this actually means on the application level, and for the entire industry,”
https://x.com/IlirAliu_/status/2087082842014486878
Welding, grinding, blasting, painting, assembly und inspection… Bring the robot inside the structure where no normal robot fits. Like what? Ballast tanks. Double hulls. Penstocks. Pressure vessels. Refinery and chemical tanks. Boilers. Offshore structures. Nuclear”
https://x.com/IlirAliu_/status/2087234092051857617
The most interesting part of this robot is not the arm. It is the gripper. Instead of pushing the whole robot faster, this setup adds speed at the end effector. The gripper itself becomes a moving axis that can accelerate independently of the arm. That changes the physics of”
https://x.com/IlirAliu_/status/2086513604057022474
SONIC is officially published in Science Robotics today and it made the Science front page. We show the promise of scaling motion tracking toward natural, robust whole-body control for humanoid robots. Huge thanks to the team, and more exciting work is on the way. Paper:”
https://x.com/yukez/status/2087637171759173694
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