Lab update: 200 hours of humanoid teleoperation per week, now the largest source of @UnitreeRobotics G1 data outside China.
We're also seeing strong traction in humanoid deployments within security, hospitality, and in homes.
We look forward to sharing more of our progress in the days to come!
Eastworlds and @UnitreeRobotics have officially partnered to accelerate the deployment of embodied AI.
As Unitree’s official Data and Deployment Partner, we will combine our data infrastructure, deployment capabilities, and regional footprint with Unitree’s leading robotics platform.
A major milestone for Eastworlds, and an exciting step forward for robotics in Southeast Asia.
Join us with @UnitreeRobotics for a relaxing evening of drinks and canapes in Sydney during #RSS2026 with leading researchers, labs and operators from across the world.
Link below to RSVP, sign up quickly space is limited!
"A parcel with snacks has been delivered for Flexion. Retrieve it using the stairs and come up using the elevator. Then unpack it and place the items into the empty drawer on the shelf in the snack area."
One instruction. No human operator. Everything that follows is autonomous.
Today we're introducing Reflect v1.0, our robotics intelligence platform for long-horizon work. From a single natural-language command, the robot understands the task, navigates a multi-floor building, calls elevators, handles doors, uses tools to unpack a box, and puts the items away. The biggest shift in v1.0 is that we use reinforcement learning across every layer, from low-level control to high-level reasoning.
Long-horizon autonomy is unforgiving. The robot must recover on its own when things don't go to plan because in the real world, they never do. Combining reasoning, perception, physical execution and runtime robustness into a single mission-capable system is the foundation required to solve humanoid autonomy.
Our team is just getting started.
#HumanoidRobots #Flexion
The embodied AI data flywheel, in real life ⚙️
At @eastworlds_io’s data collection center, operators teleoperate humanoids in VR — grasp, twist, place, repeat.
More data → better models → smarter robots → even more data.
This is how the future gets trained. 🤖
🌶️🤖𝐖𝐞 𝐜𝐨𝐨𝐤𝐞𝐝 𝐭𝐡𝐞 𝐫𝐨𝐛𝐨𝐭𝐢𝐜𝐬 𝐰𝐨𝐫𝐥𝐝’𝐬 𝐟𝐢𝐫𝐬𝐭 𝐩𝐥𝐚𝐭𝐞 𝐨𝐟 𝐌𝐚𝐩𝐨 𝐓𝐨𝐟𝐮.🤖🌶️
This was not just a cooking demo. It was a 30-minute, long-horizon robotics challenge packed with delicate, continuous, high-dexterity actions.
With only a small number of demonstrations, our model learned to perform complex manipulation over an extended sequence. At the same time, we pushed hard on motion control and system-level optimization, making the robot move smoothly while keeping the high success rate.
For us, this plate of Mapo Tofu is more than a dish. It is a small but meaningful step toward home robots that can handle real everyday tasks with the dexterity, consistency, and reliability people expect.
Introducing Curr-0: When Loco-Manipulation Meets Dexterity
Robots have learned to walk. Robots have learned to use their hands.
But in the real world, you can't do one without the other.
Your stance determines your reach. Your torso determines your balance. Your whole body moves before your fingers ever act.
This is what makes loco-dexterous manipulation hard — and what most robots still can't do.
Curr-0 is our humanoid foundation system for loco-dexterous manipulation. Locomotion, whole-body coordination, and dexterous hand control, learned together as one coupled behavior. Trained on 21k hours of real human data — including 3k hours of whole-body demonstrations — deployed on a near 70-DoF embodiment.
One model. One policy. Whole body.
This is Curr-0. And this is just the beginning.
Tech Report → https://t.co/M86SodGOx9
At Eastworlds, we validate our robot data before we sell it.
Here, a Unitree G1 autonomously and reliably picks up a bottle using a model trained on Eastworlds' data with just $200 of compute.