X Square Robot and team member Jialei Huang presented TwinDEX. The system pairs two three-finger manipulators with matching kinematics, contact surfaces, and sensors. One version is worn by humans to record demonstrations. The matching unit mounts on the robot for deployment. Posts from the company and researchers state this setup let a robot finish a chemistry experiment using only the human-collected data, with no separate on-robot training sessions required.
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…
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X Square Robot's co-designed wearable and robot hands capture human demonstrations for dexterous tasks.
X Square Robot and team member Jialei Huang presented TwinDEX. The system pairs two three-finger manipulators with matching kinematics, contact surfaces, and sensors. One version is worn by humans to record demonstrations. The matching unit mounts on the robot for deployment. Posts from the company and researchers state this setup let a robot finish a chemistry experiment using only the human-collected data, with no separate on-robot training sessions required.
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…
Many accounts praised TwinDEX for scaling dexterous robot data through wearable collection devices, calling it a smart way to learn complex skills without teleoperation or on-robot training.
Based on 76 sentiment-bearing replies from 76 accounts across 6 conversations.
Many accounts praised TwinDEX for scaling dexterous robot data through wearable collection devices, calling it a smart way to learn complex skills without teleoperation or on-robot training.
Based on 76 sentiment-bearing replies from 76 accounts across 6 conversations.
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