Wetour Robotics (NASDAQ: WETO) shows Conductor neural wristband turning wrist signals into 3D hand twins
Rhea-AI Filing Summary
Wetour Robotics Ltd. filed a Form 6-K highlighting a new demonstration of its Conductor neural wristband, part of the Orchestra Physical AI platform. Conductor uses sEMG wrist sensors to turn muscle signals into a real-time 3D hand “digital twin” without cameras or gloves, and converts deliberate gestures into text commands on screen.
The model is trained first on Meta’s open emg2pose dataset, then adapted via transfer learning to Wetour’s own 8-channel, 250 Hz consumer-grade band, using a streaming state-space (Mamba) architecture designed for on-device, low-latency inference. The wristband is positioned as an open, cross-device interface and potential data-collection endpoint for robotics and connected devices, and is available to qualified partners through Wetour’s enterprise Early Access Program.
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Key Figures
Key Terms
sEMG (surface electromyography) technical
digital twin technical
state-space (Mamba) model technical
transfer learning technical
Physical AI technical
Early Access Program financial
UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
WASHINGTON, D.C. 20549
FORM 6-K
REPORT OF FOREIGN PRIVATE ISSUER
PURSUANT TO RULE 13a-16 OR 15d-16 UNDER
THE SECURITIES EXCHANGE ACT OF 1934
For the month of July 2026
Commission File Number: 001-42536
Wetour Robotics Limited
(Translation of registrant’s name into English)
Room 7003
3300 N Interstate 35 Ste 700
Austin, TX 78705
(Address of principal executive offices)
Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or Form 40-F.
Form 20-F ☒ Form 40-F ☐
Incorporation by Reference
This report on Form 6-K (the “Report”) shall be deemed to be incorporated by reference into the registration statements on Form S-8 (File No. 333-291960 and Form F-3 (File Nos. 333-294373 and 333-295457) of the Company, including any prospectuses forming a part of such registration statements, and to be a part thereof from the date on which this Report is filed with the U.S. Securities and Exchange Commission (the “SEC”), to the extent not superseded by documents or reports subsequently filed or furnished.
EXHIBITS
| Exhibit No. | Description | |
| 99.1 | Press Release dated June 30, 2026 |
1
SIGNATURES
Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized.
| Wetour Robotics Limited | ||
| By: | /s/ Nan Zheng | |
| Name: | Nan Zheng | |
| Title: | Chief Executive Officer | |
Date: July 1, 2026
2
Exhibit 99.1
Wetour Robotics (NASDAQ: WETO) Demonstrates Conductor Neural Wristband with Training Powered by Meta’s Open emg2pose Dataset to Advance Physical AI Human-Machine Interaction and future physical-world models
Live demo turns wrist muscle signals into real-time 3D hand digital twins and gesture-to-text commands — creating an on-device human-intent data layer for robotics
AUSTIN, Texas — June 30, 2026 — Wetour Robotics Ltd. (NASDAQ: WETO) (“Wetour” or the “Company”), a Physical AI and wearable-robotics infrastructure company, today released a new demonstration of Conductor, the sEMG (surface electromyography) neural wristband at the core of its Orchestra platform. In the demonstration, Conductor decodes muscle signals from an 8-channel wrist sensor into a real-time 3D hand pose — a live digital twin of the wearer’s hand, rendered with no cameras and no gloves.
Gestures into text, in real time. The demonstration also shows Conductor recognizing discrete hand gestures and converting them into text commands on screen in real time — turning deliberate gestures into typed input with no keyboard or touchscreen.
Demonstration videos are available at www.wetourrobotics.com and on the Company’s LinkedIn and X channels under Wetour Robotics and @WETO_IR_TEAM.
Built on open research, trained on WETO's own architecture. Decoding continuous sEMG signals into hand pose builds on a fast-moving research frontier pioneered by Meta and others, and WETO trains directly on Meta's openly released emg2pose dataset. The Company is deliberately clear that the underlying capability is shared, open research rather than a proprietary first — its work is about what comes next: making that capability practical, affordable, and private enough to wear every day.
Engineered for affordable, on-device deployment. Meta's research setup captures 16 channels at 2 kHz; Conductor targets a consumer-grade 8-channel band at 250 Hz. WETO bridges this gap in two stages: first, the model is pre-trained on the emg2pose dataset downsampled to 8 channels at 250 Hz to match Conductor's hardware, learning the core sEMG-to-pose mapping from a large, high-quality corpus; then it is adapted through transfer learning on WETO's own data, collected directly from the 8-channel, 250 Hz consumer band, so the model is fine-tuned to the exact sensor it will run on in the field. The architecture is a streaming, state-space (Mamba) model chosen for linear-time, constant-memory inference — designed to run fully on-device at the edge. In the demonstration, the model is evaluated on gestures it had not previously seen.
Open, cross-device by design. Conductor is built as part of Orchestra — WETO’s open, cross-device platform designed to turn human gesture into action across connected machines rather than running on a single vendor’s hardware. The Company’s positioning is direct: Your Body is the Interface.
A human-intent data layer for Physical AI. WETO sees the real-time hand-pose digital twin as more than an input demo. By translating muscle signals into hand pose, gesture commands, and real-time interaction events at the edge, Conductor is designed to help developers collect richer human-machine interaction data for robotics, connected devices, and future physical-world models — while keeping raw signals private and on-device.
From wrist input to robotics data collection. For enterprise partners, Conductor is positioned not only as a control interface, but also as a potential robotics data-collection endpoint for real-world human intent, gesture, and interaction data. WETO believes this type of wearable, on-device data layer can support a new generation of Physical AI systems that better understand how humans move, signal intent, and coordinate with machines in the physical world.
WETO’s enterprise Early Access Program is open to qualified partners, who receive Orchestra hardware samples, SDK access, and hands-on co-development support.
About Wetour Robotics Ltd. (NASDAQ: WETO)
Wetour Robotics Limited (NASDAQ: WETO) is a Physical AI infrastructure and wearable robotics company developing Orchestra — a portable AI hub and operating system. Orchestra’s sensory modules include VisionLink (computer vision), Conductor (sEMG-based neural gesture recognition), and Spatial Intent Fusion (pointing direction coordinated with neural gesture input). Headquartered in Austin, Texas. Visit www.wetourrobotics.com.
Forward-Looking Statements
This press release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These statements include, but are not limited to, statements regarding the Company’s products, platform and demonstration capabilities, real-time hand-tracking, gesture-recognition and command-translation features, on-device and edge-deployment objectives, robotics data-collection use cases, human-machine interaction data, future physical-world models, the Early Access Program, target markets, and future plans. Demonstration results reflect controlled conditions, including evaluation on held-out gestures, and may not be representative of all use cases or production performance. References to third parties, including Meta Platforms, Inc., and to the openly released emg2pose dataset, are descriptive of the broader sEMG/neural-interface research field and the data used in development, and do not imply any affiliation, endorsement, partnership, sponsorship, authorization, or comparison of performance. Words such as “will,” “intend,” “expect,” “designed to,” “targets,” “believes,” and similar expressions identify forward-looking statements. Such statements are based on current expectations and are subject to risks and uncertainties that could cause actual results to differ materially, including those described in the Company’s filings with the U.S. Securities and Exchange Commission. The Company undertakes no obligation to update any forward-looking statement except as required by law.
Contact
Annabelle Li
Investor Relations
ir.annabelle@webus.vip