Learning from Humans
Our models learn by watching videos of humans, providing a scalable approach to collecting data for robotics.
We are building a unified, general-purpose brain to control any robot and perform any task.
The intelligence layer for physical AI — one model that operates any robot body, on any task, in the places people can no longer staff.
One brain. Any body.
One brain that drives every body.
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One Brain
A single perception–reasoning–control model. Not one stack per robot, per customer, per site.
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Any Robot
Hardware-agnostic by design. Quadruped, humanoid, wheeled base — same brain, different body.
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Any Task
Skills are learned and shared, not hand-coded. A new task takes days, not a new engineering project.
Physical AI should be omni-bodied.
How it works
The stack behind the brain.
Robotics Foundation Model
Our robotics foundation model is designed to scale and can be adapted to any hardware and task, ensuring reliable performance.
A General-Purpose Brain
A unified robotic brain that powers different bodies and adapts to a wide range of tasks.
From Vision to Motion
Our end-to-end vision model maps raw camera input directly to motion, enabling agile, autonomous navigation in complex environments.
Training
How Xmind learns.
Teleoperation, human demonstration, simulation, and real-robot rollouts across arms, humanoids, and mobile platforms feed one shared model.
Ready to put Xmind to work in your environment?
Tell us about your operation and we'll map out the right platform, deployment, and support path with you.