Introducing Dynamism v1 (DYNA-1) by @DynaRobotics – the first robot foundation model built for round-the-clock, high-throughput dexterous autonomy. Here is a time-lapse video of our model autonomously folding 850 napkins in a span of 24 hours with • 99.4% success rate — zero human intervention • 60% human throughput speed • 4.3/5 quality ratings (set by the client) A thread on our motivation, insights and results:

I am giving a talk tomorrow at the RL in the era of IL workshop (rl4il-icra.github.io/) at #ICRA2026, looking forward to a fun discussion on "How can RL improve the real-world performance of robot policies, especially when complementing IL?"

At our Robotics Day in SF, we sat down with @ArmenAgha,@JasonMa2020, and @philippswu, who shared 8 sharp takes on what the field is missing: → The 'data pyramid' weighs quality vs. scale → Data quality isn't static → Build in-house where the frontier is unsolved → RL works best when robots can match humans → Pixel-level world models may be a dead end → Physics understanding is being neglected → Data attribution is "dark magic” → Know where open source fits in your training stack Learn more from the full conversation 👉 bessemervp.team/4dFdgos

Robotics is moving from impressive demos to scalable learning systems. 🤖DYNA’s Cofounder & Chief Scientist @JasonMa2020 will be speaking at the #CVPR workshop on Scalable Robot Learning Systems. 🙌If you’re working on embodied AI, data engines, VLM/VLA, sim2real, MLsys, or eval, come join the conversation! We will share how we build robots that don’t just perform one task — but keep learning, adapting, and scaling. scalebot-workshop.github.io/

@DynaRobotics is my favorite when it comes to actual deployments

We had a lot of Red-Bull @JasonMa2020 left at GRASP 😂，very fun and entertaining to see Dynasaur doing well in such a noisy flashy and long scenario! Congrats

These guys are the kings of live autonomy demos. Always impressive

Zero-shot. Plug-and-play. Dexterous manipulation. Running continuously in production. We keep pushing robotics out of the lab and into the real world — bringing the technology to everyone. 🌎

Everyone at Red Bull Mirage brought a DJ. We brought a robot. The robot worked out of the box, no additional training onsite. 8 hours. 700 Red Bulls served. 99% success rate. No humans, no breaks, no resets. Shifting desert light. Cans handed in at every angle. Thousands of people are moving around it. The robot just kept serving. 🤖🥫

Robotics becomes real when the question from customers changes from “can it do this” to “how much does it cost?” More to come.

From talking to many friends in robotics recently, there is a strong shared feeling of demo fatigue and vibe shift towards real-world deployments. The moravec paradox of 2026 may be that demos that look hard are easy, but deployments that look mundane are actually very hard! Our co-founder York has been a leader in deploying physical hardware to real-world environments for a decade, from his previous company Caper to now at Dyna. Please read this great insight piece from him and learn what's actually important and hard about real-world robotics!

"Model ≠ foundation model ≠ pre-training-only" Thank you for your so timely and insightful thoughts @yorkyang5050!

A must read. True lesson. Honest hot takes from @YorkYang5050 , a second time founder and cofounder of @DynaRobotics

“The fastest way to shorten the robot gap is not better demos. It is harder, more honest engineering against real customer ROI, and the patience to let the deployment flywheel compound before declaring victory.” 👊

A must read. York is sharp as always.

Hear what we @DynaRobotics learnt from the bitter lesson in the past 10 months in production