Wetour Robotics demos Conductor sEMG wristband decoding muscle signals into real-time 3D hand pose

• Wetour Robotics unveiled a Conductor sEMG neural wristband demo that converts 8-channel wrist signals into a real-time 3D hand-pose digital twin.
• The system also recognized discrete hand gestures, translating them into on-screen text commands in real time.
• Training used Meta’s open emg2pose dataset, then transfer learning on Wetour data to match an 8-channel, 250 Hz consumer band.
• Wetour used a streaming state-space Mamba model to target on-device inference with constant memory, positioning it for edge deployment.
• The company framed Conductor as a human-intent data layer for robotics, offering enterprise early access with hardware samples and an SDK.

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