>
A brain that grows inside the physical world — a world model that reads the environment and the task, agents that think through consequences before acting, and a millisecond reflex layer that keeps every step safe. Hardware and software together, evolving toward physical AI.
A world model built on an embodied large model — translating sensor signals into the language of tasks, and rehearsing physical consequences and human intent in its head. Not just seeing the world, but simulating it.
Multispectral, RGB, TOF and LiDAR fusion reconstructs the work site in 3D.
Task-level semantic understanding — recognizing objects, what to do with them, and where the limits are.
Dual physics-and-behavior simulation — will the workpiece slip, where will people move — risks surface before they happen.
Multi-objective trade-offs and scenario simulation — all three steps completed before execution. Cost, risk and priority weighed autonomously; act only after thinking it through.
Multi-objective trade-offs sequence priorities and dependencies — what first, what in parallel.
Scenario simulation walks through every item, comparing candidate plans — every step rehearsed in simulation first.
Cost, risk and return settled before execution — equipment can be repaired, people cannot be replaced: always take the safer path.
The Physical Agent OS connects the brain to any body. A unified API drives all kinds of robot platforms, compatible with ROS2 and other mainstream protocols; every command is rehearsed and verified in a digital twin before touching the physical robot. Change the hardware, keep the brain.
Quadruped
Wheeled
Humanoid
Tracked
Fixed-base
Drone
AGV
Robot Arm
One API for every robot body — configuration recognized on connection, deployed in ten minutes.
The brain thinks; a cerebellum-grade safety loop backs it up in milliseconds — no loss of control even offline or on failure.
Vision, voice, navigation and other skill modules install on demand — old robots learn new trades.
Four layers of memory accumulate conversations, habits and preferences — it understands more with every use. Personality is not preset; it is raised through companionship. Self-evolution has boundaries — safety and bottom lines are locked away from self-modification.
Real-time voice control, multi-turn dialogue and emotional understanding — the brain thinks it through, the voice engine says it out loud.
Growing into a physical AI company with both software and hardware, driven by large models and autonomous agents
Talk about the brain for your robot →