• 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.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Wetour Robotics Ltd. published the original content used to generate this news brief via GlobeNewswire (Ref. ID: 202606300900PRIMZONEFULLFEED9754316) on June 30, 2026, and is solely responsible for the information contained therein.