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Ultra

@Ultraroboticsco

Robots that work. Automating today in a warehouse near you

Brooklyn, NY Katılım Ağustos 2024
5 Takip Edilen4.2K Takipçiler
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Ultra
Ultra@Ultraroboticsco·
Introducing Operator, our newest industrial AI robot built to work, not demo. Operator handles your warehouse's most repetitive tasks: packing, sorting, and kitting. Up to 24 hours a day, with flexibility and consistency that allows businesses to scale quickly. This is what we've been building. ↓ [1/4]
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Ultra@Ultraroboticsco·
@R2rule1 That was from one of our earlier deployments, packaging has come a long way since then.
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Ultra@Ultraroboticsco·
One of the most asked questions we get is why we didn’t make OP1 a mobile robot. OP1 is stationary, yet it can move around an entire work cell, grab things off the floor, and reach up to 10 feet high. Being stationary also means it can plug into the wall, and run continuously, without downtime to recharge a battery, and without the risk of tipping over. So many tasks in the world are stationary, so we made a robot that's meant to do them better.
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Ultra@Ultraroboticsco·
@R2rule1 The light pole ships detached and installs in under a minute, no oversized box needed.
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R2rule
R2rule@R2rule1·
@Ultraroboticsco It’s ok to build it with manuel wheels. But why don’t you make the light pole foldable? While transporting it you have to use much higher box just for that pole.
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Ultra
Ultra@Ultraroboticsco·
Most warehouse automation shows up as a months-long project. OP1 doesn't. Last week we shipped two OP1s to a new customer. Our team set them up that same afternoon; no new infrastructure, no rewiring, no waiting. Both were packing mailers before the day ended.

 The gap between buying automation and getting results from it is usually measured in months. For this customer, it was hours.

 Eventually, it'll be minutes.
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Ultra
Ultra@Ultraroboticsco·
Busy customers, busier robots
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Ultra@Ultraroboticsco·
A look at OP1 across a few of the floors it's running on, and the work it's doing on each. • In New York, OP1 splits its shift between bulk polybagging on the autobagger and packing padded mailers — two production workflows on one robot. • In Atlanta, it packs and seals a range of mailer types, padded and paper, across mixed sizes, SKUs, and quantities. • In New Jersey, OP1 packs items straight from a cart into plastic mailers, paper insert included, then places each finished order into its bin. • In Austin, two OP1s run side by side on high-volume bulk bagging. OP1, ready for any operation.
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Ultra
Ultra@Ultraroboticsco·
The gang's all here.
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Ultra
Ultra@Ultraroboticsco·
In an impressive edge case example, OP1 recognizes when a box falls to the floor and cleanly picks it off the ground and resumes it’s task.
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Ultra
Ultra@Ultraroboticsco·
Autonomy progression from June 2025 → June 2026 One year ago our robot was just scratching the surface of dexterous manipulation, moving a cube to a marked spot on a desk. Today, OP1 autonomously picks + builds boxes, and we’re just getting started. Autonomy compounds. The robot running today is the least capable version of itself you'll ever see.
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Ultra@Ultraroboticsco·
This kicks off the OP1 Highlight, a new monthly series where we share a real moment from our robots out in the field. Real warehouses, real orders, real numbers. Follow along.
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Ultra
Ultra@Ultraroboticsco·
A slow Sunday morning in Texas. The warehouse is mostly empty, except for two OP1s that didn't get the memo. One of them alone peaked at 193 orders/hr. Built to run 24/7, the work doesn't stop, so neither do they.
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Ultra
Ultra@Ultraroboticsco·
@PrimeErwin Tough to compare as they're different tasks. Figure is sorting small packages; OP0 is packing live customer orders into polybags. One note: Figure's demo cycles through multiple robots. Ours is a single robot, for the full 8hr shift, as there's no need for a battery swap.
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Erwin
Erwin@PrimeErwin·
@Ultraroboticsco How does it compare with Figure's humanoid in terms of speed, efficiency?
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Ultra
Ultra@Ultraroboticsco·
Robot makes box, makes data, makes faster robot, makes more boxes, makes more data 🔁♾
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Ultra
Ultra@Ultraroboticsco·
Come ship with us as we deploy robots faster than ever before possible. Ultra is hiring across engineering, manufacturing, and operations: — Senior Machine Learning Engineer — Application Engineer — Senior Mechatronics Engineer – R&D — Senior Mechatronics Engineer – Robot Platform — Supply Chain/Manufacturing Engineer — Robot Assembly Technician — Robot Lab Manager (2nd Shift) — Robotics Field Support Engineer — Robotics Software Engineer Careers page linked in comments. ↓
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Ultra retweetledi
Jon Miller Schwartz
Jon Miller Schwartz@JonMSchwartz·
OP1 has all the moves. It was designed to be safe, productive, and easy to deploy. Many companies we've spoken with are concerned about legged and wheeled robots being tipped over; OP1's not getting knocked down. Many battery-powered robots need downtime to recharge or swap batteries; OP1 plugs directly into a standard power outlet and runs continuously, never needing to recharge. Many robots require difficult integrations, such as being bolted down to the floor; OP1 is on locking wheels and can be moved around easily when you need to move it. At Ultra, we're on a mission to make the world's most useful and deployable robot. OP1 is a big step (or in our case, extension) in that direction.
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Ultra
Ultra@Ultraroboticsco·
Proud to see our collaboration with @physical_int featured on @LightconePod. Earlier this year, we worked with PI to run their foundation model on our Gen 1 robots, deployed in real customer warehouses, autonomously working for full shifts. As we roll out Operator, we're excited to be pushing even harder on autonomy and performance.
Y Combinator@ycombinator

Physical Intelligence (@physical_int) is building a foundation model that can control any robot to do any task — what the team describes as the GPT moment for robotics. The company's cross-embodiment approach trains across many different robot platforms, and recent results show tasks being performed zero-shot that last year required hundreds of hours of data collection. In this episode of the @LightconePod , co-founder Quan Vuong (@QuanVng) sat down with @garrytan, @snowmaker, @sdianahu, and @harjtaggar to talk about why robotics is finally ready for its scaling moment, how PI runs its models in the cloud rather than on-device, and the playbook for what Quan sees as a Cambrian explosion of vertical robotics companies. 00:00 — Robotics just got cheaper 00:41 — The GPT moment for robotics 02:24 — Why robots didn’t work before 05:30 — The breakthrough that changed everything 09:12 — The data problem 13:33 — Robots learning without data 15:05 — Robots folding laundry (for real) 22:18 — From engineering problem → ops problem 29:12 — The startup playbook 38:46 — Thousands of robotics startups are coming

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Ultra@Ultraroboticsco·
Operator is available and shipping today. ultra.tech [4/4]
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Ultra@Ultraroboticsco·
We didn't design Operator in a lab. It was developed alongside the businesses that use it, on real warehouse floors, with real constraints. [3/4]
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Ultra
Ultra@Ultraroboticsco·
A closer look at Operator. It reaches across the entire work cell, up to 10 feet high and all the way down to the floor. Operator handles bags, mailers, and boxes with the dexterity to adapt to an endless variety of items on the fly. [1/4]
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