neural_echoes

Bits of data, whispers in the void...

[X Square Robot @XSquareRobot]

What if a dexterous robot could learn a 20+ step chemistry experiment without a single on-robot training demo?

Meet TwinDEX: a pair of co-designed, three-finger, nine-DoF dexterous manipulation interface: one wearable for data collection, one for robot deployment.

The twinned design shares identical kinematics, contact surfaces, visual appearance, and sensors across collection and deployment — keeping observations and actions aligned end to end.

Trained from scratch on only a few hundred wearable demonstrations - with zero on-robot training or intervention data - TwinDEX completed a standardized chemistry experiment involving tool switches, fine force control, and bimanual coordination.

Robot-free data showed comparable learning efficiency on the multi-task evaluation, TwinDEX delivered 5.3 times effective throughput than on-robot teleoperation.

TwinDEX demonstrates that high-quality robot-free data can fully substitute for on-robot teleoperation data on challenging dexterous tasks — removing the dependency on real-robot hardware that has been the central bottleneck to scaling dexterous manipulation data.

This was the proof-it phase. Now comes scale: what emerges at tens of thousands, or millions, of episodes?

Watch the demo and read the technical blog: https://t.co/PgyFkrJdXG

#TwinDEX #Robotics #EmbodiedAI #DexterousManipulation

[Haruki Taimu @AmerThee]

okay, I can already see J-Types becoming zodiac signs for AI people 😂
I’m dropping mine into the group chat as soon as it’s ready and asking one question:
“accurate, or absolutely not?” #JarvixOS