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Why does a robot need 8B parameters to pick up a cup? The hidden cost in robot learning is translation, not computation.
Introducing UNITAS, the first task-native 3D world action model for embodied manipulation.
Most world models burn capacity translating 2D images into physics instead of understanding the world directly. Simulation logs, real robot trajectories, and human demos sit in separate silos that no single model can absorb. UNITAS models observation, action, and scene change natively in one 3D coordinate system. Every data source becomes one language, points moving through 3D space.
The result. 1.7B parameters beating models up to 8B. 99.8% on LIBERO. 93% on RoboTwin 2.0 bimanual tasks. 85% average success on real robots.
Less compute. More data sources working together. Real-world performance.
Paper: arxiv.org/abs/2610.12099
Code: github.com/DexForce/UNITAS
Thank you @Reuters for featuring DexForce!
We’re using simulation to help robots learn more efficiently and turn virtual training into real-world capability.
We’re building toward a future where Physical AI enables robots to understand, adapt to, and act in the real world.
At the offices of Chinese startup DexForce, a screen shows a virtual robot placing objects on a table. It repeats the task as the angle of its arms, the colour of the table and the objects themselves change.
DexForce is betting that such simulated training can help solve one of the humanoid-robot industry's biggest challenges: teaching machines to perform a wide range of real-world tasks without human assistance reut.rs/3VJX9Rr
One brain, many jobs.
A coffee bar in a mall. A popcorn counter in a park. A phone inspection cell on a production line. Same embodied brain underneath, planning and generalizing across all of them.W1 Pro ships with that brain.
New task, same unit, new fluency.
2000+ embodied intelligence products shipped across 50+ applications.
DexForce at Hong Kong Electronics Fair — RoboPark, Booth RH-07.
We brought a robot that plays Chinese chess. It hasn't stopped since the doors opened.
Three things worth watching at Booth RH-07:
- Long-duration stability.
Running continuously through the busiest hall at this show — no resets, no babysitting, no "please wait, rebooting."
- Precise recognition of the board.
Every piece, every square, read accurately — including everything that moved since the last turn.
- Fast interaction.
Perceive, reason, act in one closed loop. It responds to the board's actual state in real time, not a prerecorded sequence.
Day 1, and an unexpected one:
more serious chess players at this show than we expected. Players lined up to try to beat it, and the robot kept giving them a game.
Three more days — Oct 14–16. Come by RH-07 and bring your best opening.
110,000+ visits. 500+ orders per robot per day. One golden week.
This National Day, DexForce ran 30+ robotic service stations across China. Humanoid robots served ice cream, popcorn, coffee, and drinks. Sites spanned tourism spots, theme parks, and shopping complexes. Visits reached 110,000+ during the holiday. A single robot served 500+ orders per day on average. The flagship station earned RMB 150K. Commercial deployments have logged 25,000+ hours of uninterrupted operation to date.
Robot value is shifting. Single-task execution gives way to continuous operation. Technology validation gives way to business validation. One-off projects gives way to scale replication. DexForce keeps proving the path.
#EmbodiedAI #HumanoidRobot #Robotics
Can one robot work a retail counter and a factory floor?
Popcorn. Ice cream. Machine tending. One embodied brain.
Spec sheet in DM. #EmbodiedAI #HumanoidRobot
Thanks to @asia_bits for visiting the DexForce booth at WRC 2026.
Thomas watched W1 Pro handle live serving and retail-station tasks on the show floor, and spent time discussing the Sim2Real pipeline behind the robot. W1 Pro trains on 100% synthetic data through the self developed AI engine, building the vision-language-action model that runs everyday commercial work.
Drop by to see W1 Pro serving, stocking and restocking in real time, and to talk technical details with the team.
Line speed is the easy part. Keeping up is the hard part.
Powered by the embodied brain, the robot tracks moving targets, assembles with precision, inspects every unit, and self-corrects on the fly. One closed loop, from moving box to finished pack.
DexForce | Embodied AI for Smart Manufacturing
#EmbodiedAI #PackagingAutomation #Robotics
Vielen Dank für den Besuch in unserem Büro in Shenzhen und diesen tollen Beitrag!
Mit unserem Sim2Real‑Workflow überbrücken wir die Lücke zwischen Simulation und realer Roboter‑Einsatzpraxis. Wir arbeiten weiter an generalisierter Embodied‑KI für anspruchsvolle Handhabungsaufgaben in der Industrie.
Wir freuen uns auf die weitere Zusammenarbeit mit deutschen Industriepartnern.
Great write‑up from our on‑site visit, thank you for coming to see our team in Shenzhen!
Our core focus is closing the gap between simulation and real‑world deployment with Sim2Real / Real2Sim2Real workflow. We keep pushing generalized embodied AI to solve tricky industrial manipulation tasks, from automotive manufacturing to delicate object handling.
Excited about our ongoing collaboration with German industry partners. More real‑world use‑cases coming soon.
Diese Humanoiden Roboter arbeiten LÄNGST in der Fabrik und kaum einer kennt sie!
Ich bin zu Besuch bei @DexForceAI in Shenzhen, einem der aufstrebendsten KI- und Robotik-Start-ups Chinas.
Hier entsteht nicht nur die Hardware, sondern das komplette System aus Simulation, Robotikmodellen und Software.
DexForce hat den Unicorn-Status bereits erreicht und mehr als 1.000 Projekte weltweit in über 50 Branchen.
Spezialisierte Robotermodelle entstehen hier in nur 6 bis 8 Stunden. Auch die erste Zusammenarbeit mit einem deutschen Automobilkonzern läuft bereits!
Das habe ich vor Ort gesehen:
- Sim2Real ersetzt 3 bis 6 Monate reale Datensammlung
- Trainingswelten entstehen aus Text, Bildern und 3D
- Licht, Positionen und Bauteile werden digital variiert
- Ein Robotermodell entsteht in nur 6 bis 8 Stunden
- Real2Sim2Real spielt jeden Fehler zurück ins Training
- Ein World Action Model sagt Störungen voraus und korrigiert Bewegungen
- Schach mit DeepSeek und eigenen Aktionsmodellen
- Die schwierigste Aufgabe: glatte Kaffeekapseln greifen und bei Fehlern nachfassen
„Die Roboterhand muss eine glatte Kaffeekapsel greifen, erkennen, ob der Griff funktioniert hat, und es bei einem Fehler selbstständig erneut versuchen."
„Der Kaffee schmeckt wirklich gut. Und im Gegensatz zu manchen Menschen lernt der Roboter sogar aus seinen Fehlern.“
„Diese Roboter stehen nicht mehr im Labor. Sie arbeiten längst bei BYD, in der Chemieindustrie und inzwischen auch für einen deutschen Automobilkonzern.“
Sim2Real has left the lab. The hard part now is commercial scale.
Yueci Deng, Chief Engine Architect at DexForce, joins Rachid Daou, Joanne Zhiyan Wu, and Peter Haas on September 3 to talk about turning promising models into deployable systems.
📅 September 3 | 9:00 AM ET | 3:00 PM CEST | 9:00 PM UTC+8
Register:
register.gotowebinar.com/#re…
Seventeen children from Shanxi's old revolutionary base regions walked into DexForce last week, and got a first-hand look at embodied AI. 💌
The children shook hands with humanoid robots, watched a robot brew coffee, and challenged a robot to a chess match. No glass cases, no distant demos. Machines moving, working, and playing, within arm's reach.
For DexForce, real value lies in making technology feel approachable. A single visit can plant the first seed of scientific curiosity.
Each child left with a gift and, hopefully, a new question to explore. Technology advances industries, and carries warmth along the way.
DexForce stays committed to bringing the light of technology to growing dreams.🌱
🔎Discover how DexForce coordinates a humanoid and a cobot for fully autonomous loading and unloading of sheet metal parts.🤖
The humanoid robot locates the bin with vision and completes pick and dump actions with ±0.5 mm arm repeatability, while laser SLAM navigation keeps it running a full 8-hour shift on a single one-hour charge. ⚙️ Guided by AI and 3D vision, the cobot arm delivers 99.99% bin-picking accuracy at one second per item, mastering even reflective, diffuse and transparent surfaces. 📈 CAD-pretrained models enable deployment in just 8 hours, cutting integration costs and speeding time to production.
Built for automotive 🚗, sheet metal fabrication, machining and beyond.
#EmbodiedAI #BinPicking #MachineVision #HumanoidRobot #SmartManufacturing
DexForce brings zero-shot adaptive grasping and intelligent obstacle avoidance to the future of retail automation. 🚀
Say goodbye to rigid, preset checkout systems. Our latest robot doesn't just scan—it sees, thinks, and adapts to real-world chaos in real time.
🔹 True Flexibility: Picks completely untrained items directly from bare tables—no fixed trays or preset positions needed.
🔹 Seamless Human Collaboration: Flawlessly accepts hand-offs, instantly adjusting the item to align the barcode for quick scanning.
🔹 Unstoppable Workflow: Senses and dodges obstacles on the fly, driving the end-to-end checkout process completely autonomously.
Bring next-level adaptability to your operations.
See the tech in action below!
Our Website: en.dexforce.com/
DexForce brings sub-millimeter precision and real-time adaptive control to robotic assembly, powered by our proprietary world model engine.
In our latest high-precision electronics assembly demo, we showcase what happens when embodied AI meets agile robotics — a system built on few-shot learning that replaces rigid, fixed-trajectory automation with true adaptive flexibility.
🔹 Flawless Execution: Seamlessly executes pick, place, and precision fitting tasks with pinpoint accuracy, guided by real-time 3D perception.
🔹 Self-Correcting AI: Shifted materials? Unexpected interference? Powered by our world model, the robot instantly perceives anomalies, replans trajectories in real time, and completes the task autonomously.
🔹 True Flexibility: It drastically cuts reliance on custom fixtures and constant manual oversight, enabling rapid production changeovers without reprogramming.
Our website:en.dexforce.com
#HumanoidRobots #EmbodiedAI #RobotLearning #FlexibleAssembly
#ElectronicsAssembly #RoboticPackaging #FactoryAutomation
📢 Second Call for Participants | RoboSynChallenge @NeurIPS 2026 Registration opens for the world’s first synthetic data-driven robotics competition!
Build manipulation policies with official synthetic data, limited real-world data and open baseline models. Contest includes simulation benchmarking and real-world testing on a standardized dual-arm robot for tasks like bimanual coordination and precision manipulation.
$20,000 total prize pool. Winning teams gain presentation opportunities at NeurIPS 2026. Researchers from academia and industry worldwide are welcome.
📅 Timeline: Registration opens Jul 13 | Finalists announced Oct 18 For technical support, latest updates and peer discussions, join our Discord community.
🔗 robosyn-bench.net
🔗 Discord:discord.com/invite/3DfJu5HTS
Zero-shot generalization is officially redefining retail automation. Our demo shows how autonomously flips tilted or fallen bottles, locates barcodes and aligns them with scanners independently.
Unlike traditional 3D vision picking that demands training for thousands of individual SKUs, our General Brain robot built on world model & generative simulation engine,handles any beverage out of the box, delivering true “Pick Anything”.
Ready to future-proof your supply chain with a robot that actually thinks?
#EmbodiedAI #RetailTech #Robotics #Automation #AI
We are demonstrating the flexible assembly capabilities for smart manufacturing via our cellphone box loading solution at World AI Conference WAIC!
Unlike rigid traditional robots, our system delivers high-precision cellphone boxing with strong fault tolerance.
It automatically relocates and re-grabs lost targets instead of freezing, handling all unexpected line disruptions.
🏆 DexForce proudly co-launches RoboSynChallenge, the world’s premier synthetic data robot contest — registration is officially open. $20,000 prize pool awaits global robotics teams to solve sim-to-real transfer challenges.
Sign-up Portal: robosyn-bench.net
Open-source Code: GitHub repo
Standard Synthetic Dataset: Hugging Face collection
Step-by-step guide: Official tutorial site
For any questions, reach us via [email protected]
🤖Key Timeline:
7.13 Registration Opens | 7.13-10.11 Training Period
10.18 Finalists Released | 10.18-11.15 Model Iteration
12.6-12.12 Award Ceremony & Tech Showcase
#RoboSynChallenge #EmbodiedIntelligence #IndustrialRobots
DexForce AI + 3D Vision Solution: Next-Gen Industrial Automation
Robots don't just need to move—they need to “see”
At a major automotive plant, our AI + 3D Vision Solution empowers robots to precisely identify and grab highly reflective, complex workpieces.
Why Choose Us (Core Advantages):
⚡ General Recognition Capabilities: Train new parts instantly with just a single sample.
📐 CAD-Pretrained Recognition: Immediate object identification directly from CAD models.
🔄 Simulation-Driven AI Training: Self-optimizes to boost picking success rates from 95% to 99.9%.
⏱️ 8-Hour Rapid Deployment: Go from unboxing to full production in less than a day.
🌡️ Real-Time Thermal Calibration: Automatically eliminates temperature drift to maintain peak precision.
The Impact:
Defies harsh environments (glare, intense light) to deliver stable perception—lowering automation barriers and boosting manufacturing flexibility.
👇 Watch the video to see the future of smart manufacturing!




















