Path Robotics

We're enabling robots to build so that humans can create.

[Path Robotics @PathRobotics]

Rebuilding the fleet isn't a shipyard problem. It's a manufacturing problem.

We'll be at the @AmDefAlliance's Navy & Marine Corps Procurement Conference in Norfolk this week to talk about what autonomous welding actually looks like in a shipbuilding operation.

Find the @PathRobotics team. We'd love to talk.

[Path Robotics @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.

[Path Robotics @PathRobotics]

4.16.26

[Path Robotics @PathRobotics]

4.16.26

[Path Robotics @PathRobotics]

4.16.26

[Saronic @Saronic]

Saronic is rapidly advancing US shipbuilding to deliver autonomous ships at speed and scale.

Excited to share our work with @PathRobotics to integrate physical AI for welding robotics into our shipbuilding workflows in Franklin, LA – bringing together our world-class welders and advanced technologies to drive gains in safety, efficiency, and production quality.

Learn more about how we’re utilizing advanced manufacturing capabilities and techniques to accelerate production – today in Franklin, and tomorrow at our next-generation shipyard, Port Alpha: https://t.co/s5ni0vhQg3

[Path Robotics @PathRobotics]

Today • 1 PM ET

Reindustrialization won’t be funded into existence. It has to be built.

30-min webinar w/ @PathRobotics CRO Heather Carroll: How Physical AI Will Rebuild American Manufacturing.

If you’re trying to ship more without waiting to hire, don’t miss it.

Register now → https://t.co/9n1PplBRyT

[Path Robotics @PathRobotics]

Reindustrialization won’t be funded into existence. It has to be built.

And right now, the constraint is physical capacity: welding hours + skilled labor.

Feb 11 • 1 PM ET
30-min webinar: How Physical AI Will Rebuild American Manufacturing w/ @PathRobotics CRO Heather Carroll.

What we’ll hit: labor bottlenecks, lead times, and how Physical AI for welding is being adopted to increase output on real parts.

Register → https://t.co/9n1PplCpor

[Path Robotics @PathRobotics]

The bottleneck isn’t funding.
It’s throughput.

When welding capacity is the constraint, ship dates move, and everything slips.

Feb 11 • 1 PM ET

30-min webinar w/ @PathRobotics CRO Heather Carroll: How Physical AI Will Rebuild American Manufacturing
Register →
https://t.co/9n1PplCpor

[Path Robotics @PathRobotics]

We don’t have a technology gap. We have a throughput gap.

Feb 11 • 1 PM ET

30-min webinar: “How Physical AI Will Rebuild American Manufacturing” w/ Path CRO Heather Carroll.

See the speech she gave to congressional robotics caucus → https://t.co/hiHyAqhoQV

[Path Robotics @PathRobotics]

Feb 11 • 1 PM ET

“How Physical AI Will Rebuild American Manufacturing” w/ Path CRO Heather Carroll.

30 minutes on Physical AI + labor bottlenecks for welding that increase output.

save your seat here:
https://t.co/hiHyAqhoQV

[Path Robotics @PathRobotics]

Feb 11 | 1 PM ET

How Physical AI Will Rebuild American Manufacturing
America is not short on funding; it’s short on capacity.

In 30 minutes, @PathRobotics CRO Heather Carroll breaks down what’s stalling American manufacturing, and how Physical AI is helping teams build more with the people they already have.

Register here: https://t.co/9n1PplBRyT

[Nima Gard🗻CVPR @NimaGard]

https://t.co/ydZAQzA9OQ

[Neuracore @Neuracore_AI]

𝗛𝗶𝗴𝗵-𝗺𝗶𝘅 𝗺𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗯𝗿𝗼𝗸𝗲 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗿𝗼𝗯𝗼𝘁𝘀.

For decades, robots thrived in high-volume, low-mix production.

But the moment factories moved to high-mix, low-volume, traditional automation stopped making sense.

On this episode of The Neuracore Podcast, we chatted with @NimaGard, Head of AI at @PathRobotics, who explains why setup time is now the real bottleneck - and why AI-powered automation is the path forward.

Listen to the full conversation with Stephen James here:
https://t.co/LsPqH80uEZ

[Andrew Lonsberry @AndrewLonsberry]

We just cleared 10,000 sq-ft for an insane new facility addition.

The future of defense tech manufacturing coming Feb 17th...

[Path Robotics @PathRobotics]

Path is proud to announce two new members of our board of directors:

Frank Klein, COO of @RocketLab, and Geoffrey Chatas, SVP for Operations at @Yale University.

As we scale physical AI across factory floors worldwide, their operational and financial leadership strengthens our next phase of growth.

https://t.co/hsei6XbMxc

[Stephen James @stepjamUK]

Thanks to @NimaGard and the team at @PathRobotics for taking part in our inaugural episode!

[Neuracore @Neuracore_AI]

Today we are excited to introduce 𝗥𝗼𝗯𝗼𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗶𝗻 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆, a new Neuracore original series exploring how machine learning is transforming robotics across every major industry.

In this series, we speak directly with the engineers, researchers, and technical leaders deploying ML in the physical world.

From factory floors to warehouses, from hospitals to energy sites, and across any environment where robots must operate with real-world variability.

To launch the series, we sat down with someone building that future from the inside.

@NimaGard is the Director of AI at @PathRobotics, the company pioneering autonomous welding systems and developing one of the first foundation models for industrial manufacturing.

Welding is one of the hardest problems in robotics. The variability, the precision, the real-world messiness all of it breaks most automation systems. And yet Path believes that with the right data, the right models, and the right hardware, welding can become the proving ground for true physical AI.

Nima is leading a team training large-scale models on massive, unsupervised datasets collected from robots deployed across global factory floors. They are building custom scanning hardware. They are unifying data pipelines from worldwide fleets. They are pushing machine learning into places where failure is not theoretical, it is molten metal.

So we asked him:

• Why welding is the perfect proving ground for industrial foundation models
• The importance of high-fidelity scanning before, during, and after welds
• How every data point, good or bad, strengthens the model and accelerates improvements
• The technical infrastructure required to train at production scale across a global fleet
• How their methods extend far beyond welding to other core manufacturing workflows

Teams across robotics-driven industries are searching for clarity about what machine learning can truly deliver today.

This series exists to provide exactly that clarity.

https://t.co/gHHq5bdkoc