Wetour Robotics showcases Orchestra robot-training demo

Wetour Robotics (WETO) details a demo of its Orchestra sEMG-vision system aimed at improving human demonstration data for humanoid and embodied AI training.

Rhea-AI Filing Summary

Wetour Robotics Ltd (WETO) reports a technology demonstration of its Orchestra Physical AI platform, combining surface electromyography (sEMG) with first-person vision to capture richer human-hand data for robot learning. The system uses an 8-channel sEMG wristband, Conductor, together with a VisionLink camera to fuse muscle-activity and visual streams into one synchronized record of movement, effort and action timing.

The approach is designed to address force and occlusion blind spots that affect vision-only systems, which in an internal carrying task failed to locate the hand in 21.8% of frames, including a longest dropout of 4.32 seconds. The cross-modal correction strategy using sEMG during missing visual intervals remains in validation. Demonstration videos for five real-world manipulation tasks are available on the company’s website and social channels. The company also reiterates development and commercialization risks in forward-looking statements.

Filing Explained

This Form 6-K furnishes a September 1, 2026 development demonstration whose cross-modal correction remains in validation, and incorporates the report by reference into the company’s S-8 and F-3 registration statements. That adds the disclosure to those filings; it does not itself report an issuance or sale of securities.

Key Figures

sEMG channels: 8 channels Vision-only hand-tracking failure rate: 21.8% of frames Longest continuous vision dropout: 4.32 seconds +1 more

4 metrics

sEMG channels 8 channels Conductor wristband neuromuscular interface configuration

Vision-only hand-tracking failure rate 21.8% of frames Internal carrying task where the vision-only pipeline failed to locate the hand

Longest continuous vision dropout 4.32 seconds Internal carrying task in the vision-only pipeline

Number of demo tasks 5 tasks Real-world manipulation tasks shown in the Orchestra demonstration

Key Terms

surface electromyography (sEMG), Physical AI, visual occlusion, multimodal data capture, +1 more

5 terms

surface electromyography (sEMG) technical

"combining surface electromyography (sEMG) with first-person vision"

Physical AI technical

"Wetour Robotics Limited is a Physical AI infrastructure and wearable robotics company"

Physical AI combines artificial intelligence with physical devices or environments, enabling machines to interact with and adapt to the real world in a human-like way. It matters to investors because it can lead to smarter robots, autonomous vehicles, or advanced sensors that improve efficiency and open new markets, potentially creating significant business opportunities and competitive advantages.

visual occlusion technical

"greater resilience to visual occlusion can make that data more useful"

A visual occlusion is any blockage or covering that prevents light or images from reaching part of the visual system, such as the eye or visual field. That can be a physical cover (like an eye patch), a lesion or clot that interrupts blood flow to retinal tissue, or an obstruction in the visual pathway; it matters to investors because it defines patient populations, clinical outcomes, and markets for treatments, diagnostics, or devices related to vision loss.

multimodal data capture technical

"force estimation, multimodal data capture and humanoid or embodied-AI applications"

first-person vision technical

"combines muscle activity and first-person vision to capture richer data"

FAQ

What did Wetour Robotics (WETO) announce in this Form 6-K?

Wetour Robotics announced a development demonstration of its Orchestra Physical AI platform, which combines surface electromyography (sEMG) and first-person vision to capture richer human-hand data for robot learning, targeting force and visual-occlusion blind spots.

How does Wetour Robotics’ Orchestra system work for WETO?

Orchestra combines the Conductor 8-channel sEMG wristband with the VisionLink first-person camera, fusing muscle-activity and visual data locally into one synchronized record of movement, effort and action timing to support training of humanoid and embodied robots.

What limitation in vision-only systems did WETO quantify?

In a representative internal carrying task, the vision-only pipeline failed to locate the hand in 21.8% of frames, including a longest continuous dropout of 4.32 seconds. The architecture is designed to use sEMG as a complementary signal during those missing visual intervals.

What kinds of tasks are shown in Wetour Robotics’ Orchestra demo?

The demo covers five real-world tasks: packing a lunch box, sorting pills, disassembling a pen, measuring a drone with calipers and installing a drone propeller, chosen for precision, changing hand effort and frequent visual occlusion.

Where can investors view the Orchestra demonstration from WETO?

Demonstration videos are available on www.wetourrobotics.com and on Wetour Robotics’ LinkedIn and X channels under Wetour Robotics and @WETO_IR_TEAM, showing the sEMG-vision system in several representative manipulation tasks.

What risks does Wetour Robotics highlight regarding Orchestra and related technologies?

The company states that development, integration, validation, performance, applications and commercialization of Orchestra and related technologies are subject to risks including technology-development risk, data differences, calibration limits, competition, customer acceptance and capital needs, as described in its SEC filings.

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Available on EDGAR 09/04/2026 - 04:31 PM Accepted by SEC EDGAR 09/04/2026 - 04:30 PM Learn about SEC filing dates

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 September 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 September 1, 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: September 4, 2026

 2

Exhibit 99.1

Wetour Robotics Demonstrates sEMG-Vision System Targeting Force and Occlusion Blind Spots in Physical AI Training

Dual-modal approach combines muscle activity and first-person vision to capture richer human demonstration data for humanoid robots

AUSTIN, Texas, Sept. 1, 2026 (GLOBE NEWSWIRE) -- Wetour Robotics Limited (NASDAQ: WETO) (“Wetour Robotics” or the “Company”), a Physical AI infrastructure and wearable robotics company, today released a development demonstration of Orchestra combining surface electromyography (sEMG) with first-person vision to capture richer human-hand data for robot learning.

The system is designed to address two limitations of vision-only capture: cameras cannot directly observe how much force a hand applies, and they lose hand data when the hand is hidden behind an object or leaves the field of view. Orchestra combines muscle activity with visual position so the two signals can complement each other at the edge.

“Physical AI needs more than video. A camera can show where a hand moved, but not how hard it worked, and it can go blind at the exact moment contact happens. Orchestra is designed to add force-related information and continuity to human demonstration data,” said Nan Zheng, Chief Executive Officer of Wetour Robotics.

Two Signals That Fill Each Other’s Blind Spots

Orchestra combines Conductor, an 8-channel sEMG wristband, with VisionLink, a first-person camera. Vision provides spatial position and scene context. sEMG captures muscle activation, remains available during visual occlusion and may provide a physical signal before visible movement begins. The development architecture is designed to fuse both streams locally into one synchronized record of movement, effort and action timing.

In a representative internal carrying task, the vision-only pipeline failed to locate the hand in 21.8% of frames, including a longest continuous dropout of 4.32 seconds. The architecture is designed to use sEMG as a complementary signal during those missing visual intervals. The cross-modal correction strategy remains in validation.

What the Demonstration Shows

● Continuous digital hand. The current on-device model outputs 20 joint angles rather than only classifying a small set of preset gestures. In an internal model benchmark, processing a one-second sEMG window required 50.4 milliseconds with zero lookahead. This measurement reflects model processing time, not end-to-end system latency.

● Force as a measurable dimension. The force-estimation pipeline is designed to convert sEMG into scale-calibrated, kilogram-equivalent grasp-force estimates. Calibration uses a scale as the reference and fits the response to the wearer and wearing session. The pipeline has been validated end-to-end on synthetic data; validation with live wristband force recordings remains under development.

● Action-ready data. The system is being developed to layer events such as reach, grasp, hold and release over continuous hand motion, creating structured demonstrations for imitation learning and robot training.

NASDAQ: WETO | wetourrobotics.com | Page 1

Five real-world tasks. The demo shows packing a lunch box, sorting pills, disassembling a pen, measuring a drone with calipers and installing a drone propeller - tasks combining precision, changing hand effort and frequent visual occlusion.

Why It Matters for Humanoid and Embodied AI

Human demonstrations are becoming an important input for training robots in real environments. Wetour Robotics believes adding force-related data and greater resilience to visual occlusion can make that data more useful for fine manipulation, compliant control and future human-robot collaboration.

Demonstration videos are available at www.wetourrobotics.com and on the Company’s LinkedIn and X channels under Wetour Robotics and @WETO_IR_TEAM.

About Wetour Robotics Limited

Wetour Robotics Limited (NASDAQ: WETO) is a Physical AI infrastructure and wearable robotics company headquartered in Austin, Texas. The Company is developing Orchestra, a Physical AI platform that connects intelligent agents to the physical world through wearable sensors, visual intelligence, edge AI computing and connected machines. Conductor is the Company’s wrist-worn neuromuscular interface, and VisionLink is its visual intelligence module.

Forward-Looking Statements

This press release contains forward-looking statements regarding the development, integration, validation, performance, applications and commercialization of Orchestra, Conductor, VisionLink, sEMG-vision fusion, force estimation, multimodal data capture and humanoid or embodied-AI applications. These statements are subject to risks including technology-development and integration risk, differences between synthetic and real-world data, calibration and accuracy limitations, competition, customer acceptance, capital requirements and other risks described in the Company’s filings with the U.S. Securities and Exchange Commission. Actual results may differ materially. The Company undertakes no obligation to update forward-looking statements except as required by law.

Investor Relations Contact

Annabelle Li

Head of Investor Relations
Wetour Robotics Limited
ir@wetourrobotics.com

NASDAQ: WETO | wetourrobotics.com | Page 2

Filing Exhibits & Attachments

1 document

Press Releases

• EX-99.1 PRESS RELEASE DATED SEPTEMBER 1, 2026 13.0 KB