Our CTO @Ben_Burchfiel will be at @tulipinterfaces' Operations Calling alongside @nvidia, Litmus and @ThirdWaveAi. They’ll talk about how Physical AI can help teams investigate problems on the line before the evidence is gone, including the work of connecting different systems and deciding where people still need to make the call. Thanks to Tulip for having us. Come find Ben in Somerville on October 6-7! operationscalling.com/2026-u…

A robot that works 90% of the time is completely useless in a factory. @adnothing from @WaldenRobotics had a really good session at @CoreWeave's Fully Connected today on what happens when you stop optimizing robotics for demos and start optimizing for deployment. One thing he kept coming back to was this: You have to earn the right to be on the factory floor. Customers don't care that your model looked great in the lab. They already have a process that works, people doing the job, quality targets, cycle times and some pretty scary spreadsheets with numbers like 99.5%. Your robot has to work on THEIR terms. And that's where Walden's approach gets interesting. They don't assume the AI has to be perfect before deployment. But they also don't ask a factory to tolerate a useless robot for a year while it collects data. Instead, the robot works autonomously and can call for remote assistance when it gets into a situation it doesn't know how to handle. That intervention does two things. The job still gets done. And the correction becomes some of the most valuable data you can give the system. Adrien called these on-policy corrections. The stuff you only get once the robot is actually out there doing the work. His line on this was probably my favorite: “There’s no amount of scratching your head in a lab that will tell you the things we learned.” That's also why Walden is so focused on deployment data. You can collect huge amounts of demonstrations, video and synthetic data. Eventually you still put the robot into a real factory and discover everything your researchers didn't think about. And then there was the hardware... Walden's first robot is on wheels. Which is funny because their CEO @RussTedrake has spent more than a decade working on legged robots. But Adrien's explanation was basically: we're deploying in factories. Very few people are doing backflips in factories. 🤣 Wheels give them more stability, more battery, more compute on the robot and, importantly, the ability to stop safely at pretty much any point. That's probably what I liked most about the whole talk. Very advanced AI... very little interest in making the robot look impressive for the sake of it.

Happening today at @CoreWeave Fully Connected: our co-founder and Chief Strategy Officer @adnothing takes the stage at 2pm PT / 5pm ET for his technical session, then joins @theCUBE live at 4pm PT / 7pm ET. Tune in: thecube.net/events/coreweave…

Claude Founder House is coming to SF Tech Week (Oct 6–8) and Stockholm (Oct 14). Come for talks, workshops, and office hours with our team, plus time to meet others building with Claude. Whether you're a founder, a CEO, or a builder, there's a session for you.

How do you know a new robot policy is ready for production? At Walden, we evaluate task success alongside autonomy, interventions, speed and transfer. On Thursday, Adrien Gaidon joins @theCUBE live from @CoreWeave’s Fully Connected. Tune in for a discussion of the training and evaluation loop behind our general-purpose robots, and what we’re learning in manufacturing. Tune in Oct 1 at 2pm PT / 5pm ET for Adrien’s technical session, then 4pm PT / 7pm ET for his live interview on theCUBE: thecube.net/events/coreweave…

The holy grail for robotics is being able to generalize: doing work in unseen places We rented 30 homes in the Bay Area and are doing tasks without any new training

What does it take to get robots out of the lab and onto the factory floor? Our CEO @RussTedrake joined @BradPorter_ on Deployed to talk DARPA lessons, wheels vs. legs, factory safety, and why deployment is all about the details. cobot-deployed.com/ep12

A video from a Pi robot deployed at Dandelion Chocolate, fully autonomous w/ no interventions. 🤖 Deploying robots has taught us surprising lessons about the gap between proof-of-concept (i.e. building one box) and real-world utility (productively building boxes for hours). I expected that the hard part is building the box, since it’s the most dexterous, but that wasn't what we found. Counterintuitively, the hardest part was reliably stacking the boxes. Our original table-mounted robot had poor visibility of the stack without special separately-mounted cameras. Plus, stacking requires more generalization (each box is placed in a different location), and an imprecisely-placed box can lead the entire stack to collapse many boxes later. We recently switched this deployment over to a mobile robot, and it's fun to watch the robot being completely self sufficient for multiple hours. 🙂 Data and feedback from real world use-cases like these are quite valuable for the π pre-trained model as we scale!

Robotics and world models take center stage at @FellowsForum 2026 on September 24, cohosted by @Fellows_Fund and @nebiusai, in partnership with @nvidia. For founders and researchers building Physical AI, how often do you get to hear from this many leading robotics and world-model teams in one place? We’re bringing together leaders from @NVIDIA, @GeneralistAI, @RhodaAI, @odysseyml, @Waymo, @DynaRobotics, @CloudChef, @Tutor Intelligence, @SereactAI, and @WaldenRobotics, for a full day of intensive discussions on how AI learns, understands, and acts in the physical world.

Our work with @SamsungSDSA is moving into specific manufacturing use cases. Working with various Samsung affiliates, Walden’s general-purpose robots were used to test tasks including parts transport and consumables replacement. Working with Samsung has pushed aspects of our technology stack in truly new and exciting ways. We’re excited to continue accelerating the relationship. biz.chosun.com/en/en-it/2026…

Adrien Walden led ML at Toyota Research. Then he co-founded @WaldenRobotics, which just left stealth with $300M. Catch @adnothing bringing physical AI to #FullyConnected26. Sept 29–Oct 1, SF. Register here: utm.io/usfdT

Building general-purpose robots takes frontier Physical AI and practical systems engineering. We’re bringing together people across AI, software, hardware and deployment to push the state of the art and make it work in production. Join us: waldenrobotics.com/careers

The lights are on in San Francisco. Our new office is officially open in downtown SF, giving Walden a home on both coasts as we build the team behind our general-purpose robots. More from SF soon, We’re hiring in SF and Cambridge: waldenrobotics.com/careers