Johnny Wang

First year robotics MS at @Penn Prev: @UCBerkeley, @berkeley_ai

[Johnny Wang @johnnywang_16]

🔥

[Dyna Robotics @DynaRobotics]

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 restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network.

This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started.

It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface.

Read the full blog post: https://t.co/8QVEoQuzBY

[akhilravidas @akhilravidas]

I started working in robotics a little over a year and a half ago, and it still humbles me every day.

The physical world is just hard. There is no undo button. Given enough time, every weakness—in the model, hardware, data, infrastructure, deployment, or operations - eventually shows up in the customer’s workflow.

Success takes an incredible team working across the entire stack. The goal is to stay at the research frontier while delivering real economic value at scale - deployments are the true eval.

Incredibly proud of what the team at Dyna has accomplished.

We're solving a problem that's still wide open. DM me or check out https://t.co/XPqfdyKGin if you want to help build what comes next.

[Max Mclaughlin @MaxMclaughlin16]

@jonstephens85 Agreed on that. It’s just quite funny how many folding laundry demos there are. Especially when the gap from a robotics demo to production is huge.
Looks like dyna among other foundation world labs have made some crazy progress closing that gap

[Tetsuro Miyatake @tmiyatake1]

中華料理屋のディンタイフォン（鼎泰豊）がDyna Roboticsのロボットを導入したことを発表した。

鼎泰豊以外でもタオルを折りたたむ作業をホテルやジムなどでも行っている。

https://t.co/m4crB4YrKF

[Shubham Agarwal @ShubhamAg0x]

Deployment is the eval.

Every robot in the wild becomes a continuous source of data you simply can't reproduce in a lab.

But deployment comes with a huge operational cost — and that's the hard part:

Fleet management, maintenance, calibration, remote intervention, model updates, monitoring, uptime, safety — and eventually insurance when robots perform high-value or mission-critical work.

If you can build the infrastructure to manage this, something incredibly powerful happens:

- Every deployment makes the next model better.
- Every failure becomes an eval.
- Every eval becomes training data.
- Every new deployment expands the distribution.

This creates a massive new infrastructure vertical for robotics. Companies that can manage this entire loop for robotics companies could become the picks-and-shovels winners of the robotics era.

cc @DynaRobotics

[Anirudh Topiwala @TopiwalaAnirudh]

@DynaRobotics Great work team..deployment is where research converts to real value for the company!

[Israel Adelaja @issyadelaja]

"deployment is the eval"

[Yu Su @ysu_nlp]

glad to see some real robot deployment

[Pushkar @Pushkar11420566]

Really enjoyed this discussion. The Dyna-2 results on scaling human video for robot learning are fascinating.

Big thanks to @JasonMa2020 @tianyurobot @ChetBhateja and @_anhquanpham from @DynaRobotics and @chris_j_paxton @micoolcho and @DJiafei from @RoboPapers for unpacking it so well with so much deep insights.

Now curious about the other side: what are the biggest bottlenecks they’re hitting in pretraining as they push beyond 1M hours !

[Dhruva @dhruva008]

Real world deployment grounds and prioritizes the right problems to go after. Also builds confidence in the true value being created

[GuilleFix — life/acc | /dd ⏩ @guillefix]

I love that part of solving robotics (which Dyna seems to be doing a great job att) is to pay obssesive attention to basically every mundane thing, like placing napkins

[The Humanoid Hub @TheHumanoidHub]

"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.

[richard zhang @rzhang139]

The most underrated notion about deployments is that it’s actually looks fun going onsite. And putting out fires deescalates as you scale and smooth out the edges.

When I first joined -> now has been probably the biggest step function in the number of deployed sites, and each incremental site seems smoother than the last.

Visiting a deployment site is a sort of rite of passage at Dyna.

If you want to deploy robots, join us! https://t.co/B5CGxyvukT

[Reid Fletcher @LxKus]

the gap between a foundation model demo and enterprise production is where 99% of robotics companies die.

massive validation for @DynaRobotics.

[i2RT @i2rt_robotics]

Congratulations! And thanks for bringing me to life 🥹

[Techniahqrobot | humanoid robots @techniahqrobot]

This is the real milestone robotics companies need to hit.

Demos are great for showing a robot actually works but it’s the ROI that keeps customers paying for it.

If Dyna can pull this off across Din Tai Fung hotels logistics and data centers, the conversation completely shifts from just building impressive robots to actual real world business economics.

[Prashant Srivastava @prash_srivastav]

Proud to share more of what our team at DYNA has been building , taking the models and infrastructure we’ve shared recently and putting them to work at scale in real-world customer deployments.

[Reshef @Reshef_]

Every deployment has a story, every story brings learning.

The only way to do "robot learning" is through "robot stories" which come from... robot deployment.

[Jie Wang @JieWang_ZJUI]

Really proud to be involved in early deployment of DTF, and extremely happy to see DYNA2 scale up in data, model and deployment!
Robotics is a long tail system challenge and I am thrilled to be part of grounded team that ship non-hype products
123, DTF!

[Cong Gao @CongGaoJHU]

What a first week! It’s been amazing to witness Dyna Robotics' major deployment milestones up close. Building a sustainable business takes a relentless focus on the product. Can't wait to dive in and contribute to what we build next.

[miles kane @lifeofmlk]

I'm a few weeks in @ Dyna, and blown away by what the team has accomplished so far. Excited for whats to come! 🤖

https://t.co/EfoZZbEdtC