
Where this gets used:
→ Warehouse picking → Lab automation → Manufacturing → Data collection → VR teleoperation → Robotics research
The software stack is open source too: Python tools, bimanual IK, camera streaming, LeRobot bindings.
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Where this gets used:
→ Warehouse picking → Lab automation → Manufacturing → Data collection → VR teleoperation → Robotics research
The software stack is open source too: Python tools, bimanual IK, camera streaming, LeRobot bindings.

Physical AI isn't just about smarter models, it's about robots built to learn from the real world.
What's the bigger bottleneck in physical AI today: hardware or data? Curious what you think.
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The specs that stood out to me:
→ Two 7 DOF arms → 860mm reach per arm → 6.5kg peak payload → 500Hz control rate
Translation: smoother movement and real manipulation, not just demos.

For physical AI to work, a robot needs more than intelligence. It needs:
→ Arms with real reach and payload → Cameras for perception → Precise control → Software that's actually usable → Real world data to learn from