The highlight of #CVPR2026 is the laughing escalator.

A very simple recipe to build reliable robot learning solutions. #CVPR2026

Path Robotics has developed a legged robot called Rove for large-scale industrial welding. It moves to the worksite and scans welding seams to understand their shape. Then, its AI performs welding and adjusts the process in real time.

Heading to #CVPR2026 in Denver June 4-6 to reconnect with old friends and meet new ones. If you're working on robot learning or world models, or just want to say hi, reach out and let's grab a coffee.

I spent the last week in over a dozen pitches with robotics companies across Silicon Valley, NY and Europe...then I looked at the US Census Bureau Data Turns out 88% of US manufacturing plants don't own a single robot...and that's the opportunity Founders are seeing. Despite the endless deluge of humanoid robot demos and "AI factory" hype in our feeds, nearly 9 out of 10 American factories look exactly the same as they did 20 years ago. Manual labor, mechanical machinery, a retiring workforce and challenges in filling roles. The reasons why they haven't been "updated" historically breaks down into two clear buckets that I call: 1. The Integration Iceberg: A robot arm might cost $25,000 and has come down in price, but the custom tooling, safety cases and software integrations to make it work cost $125,000. 2. The Agility Tax: A traditional robot does one thing a million times. But the average US shop does "high-mix, low-volume" work. To reprogram a robot for a new part has required an expensive software engineer and could take days depending on engineer availability. The next generation of massive robotics outcomes won't come from building shinier hardware for the 12% of factories that are already automated. It will come from the Founders solving the integration and business model friction for the 88% that aren't. If your GTM strategy doesn't solve the 18-month ROI math of a shop owner in Ohio who needs financing, fast onboarding and the ability for the robot to handle a variety of tasks, then you're likely going to struggle. If you're working on a robotics business solving our countries biggest talent bottlenecks, I want to chat.

april glove always knows 👀

Rove is the new mobile welding robot from Path Robotics. Building things like ships isnt possible with a static arm.

In the future this is how everything will be built

So many robotics companies trying to solve everything at once… Last year I talked to @NimaGard, Director of AI at @PathRobotics about this… Doing one thing really really well. They went after welding. Today they’re introducing Rove™, which embodies Obsidian™ (Path's physical AI model for manufacturing) on a legged mobile platform. The result is the intelligence to autonomously weld with the mobility to bring the worker to the work. Path Robotics (Columbus, Ohio) has raised more than $300 million in venture capital to build autonomous AI-powered welding cells. I think the tech is pretty impressive and video really cool. Congrats guys! Credit: @PathRobotics

Introducing Rove™ Weld anything. Weld anywhere. Rove™ embodies Obsidian™ — Path's physical AI model for manufacturing — on a legged mobile platform. The result is the intelligence to autonomously weld with the mobility to bring the worker to the work.

Weld Anything. Weld Anywhere Obsidian has a new embodiment!

I tried to run a python code in the terminal to train a neural net in this neural os. Sadly it didn’t work.

👀👀

After 8 years of shipping hardware as a founder, I'm super excited to announce Anvil's next chapter! Anvil Robotics has raised $6.5M led by hard-tech veterans Matter Venture Partners with participation from @humbavc, @vsodera , @spacecadet , @Position_VC

Excited to share the project that has surprised me the most in the last year! Large-scale RL in simulation, no demos and no reward engineering can solve dynamic, dexterous and contact rich tasks. The learned behaviors are reactive, forceful and use the environment for recovery in ways that are extremely challenging to bake in or teleoperate! You can play with the policies yourself to see: weirdlabuw.github.io/omnires… And, the learned behavior transfers to real world robots from RGB camera inputs! So what’s the trick - using simulator resets carefully! Let’s unpack (1/10)

I sense a partnership coming