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Toborlife AI launches full-body teleoperation software for Unitree G1

Sep. 18, 2026
By AI, Created 15:00 UTC, Sep 18, 2026, AGP -

Toborlife AI introduced U.S.-built teleoperation and training software for the Unitree G1 Edu humanoid on Sept. 18, giving labs and developers a domestic stack for data capture, support and onboarding. The system is designed to let teams start recording training-ready demonstrations from the first session while keeping customer data on U.S.-controlled hardware.

Why it matters: - Toborlife AI’s software gives U.S. research labs, universities and developers a domestic teleoperation and training layer for the Unitree G1 Edu humanoid. - The system is built to capture training-ready data from the first session, which can shorten setup time and speed experimentation. - Customer data stays on the customer’s hardware in the United States and is never transmitted to Unitree or any server outside the customer’s control.

What happened: - Toborlife AI announced full-body teleoperation software for the Unitree G1 Edu humanoid on Sept. 18, 2026. - The company described the release as the first data collection, training and support stack for the G1 built and supported domestically in the U.S. - The software is available for purchase now with U.S.-based onboarding and support included. - Customers can schedule a consultation or request a live demonstration by contacting sales@toborlife.ai or (408) 409-4061.

The details: - The system lets an operator wearing a PICO VR headset move the G1 Edu in real time, with no scripting in between. - Full-body teleoperation covers the robot’s arms, legs and torso. - Optional dexterous robotic hands on the G1 let operators pick up, hold and manipulate objects with finger-level control. - The software records full-body motion at high fidelity, including finger-level hand movement. - Toborlife AI delivers the captured demonstrations in a training-ready format rather than raw logs that need cleaning. - The company backs deployments with a U.S.-based team of robotics engineers who provide direct technical support, configuration guidance and hands-on onboarding. - George Ekas, co-founder and CTO, said the end-to-end data collection and training system is designed to support domain-specific applications and improve as customers use it.

Between the lines: - Toborlife AI is positioning teleoperation as infrastructure, not the final product. - The pitch is aimed at teams that want to start collecting usable robot data immediately instead of spending months integrating open-source tools. - Data ownership is a central selling point. The company says customer data stays with the customer, is not monitored, and is only accessed for troubleshooting or support when requested. - That model could appeal to labs and companies that want to build proprietary skill libraries and training sets without giving up control of their demonstrations. - David Schulhof, CEO and founder, said the product is a milestone in the company’s effort to democratize emerging robotics and make robots easier to use for people without deep technical backgrounds.

What's next: - Toborlife AI is taking orders now and offering live demos for research groups and companies that want to evaluate the system. - The company’s support model suggests it will continue pairing software updates with onboarding and optimization for deployed customers. - For labs building humanoid workflows, the next step is likely moving from single demonstrations to repeatable training pipelines that can be validated on the G1 platform.

The bottom line: - Toborlife AI is betting that the next robotics race is not just about hardware, but about who owns the software, data and support layer around humanoid robots.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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