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Astribot brings T1 humanoid robot to North America

3 hours ago
By AI, Created 13:34 UTC, Sep 29, 2026, AGP -

Astribot is showing its T1 humanoid robot at IROS 2026 in Pittsburgh as the company pushes a Physical AI stack built around AI models, an embodied operating system and a cable-driven robot body. U.S. orders are open now, with pricing starting at $18,000 and immediate delivery available.

Why it matters: - Astribot is trying to sell Physical AI as a full system, not just a robot with software layered on top. - The T1 platform is positioned for researchers, developers and applications that need real-world robot interaction. - U.S. pricing starts at $18,000, which puts the platform within reach of more buyers than many humanoid systems. - The company says U.S. customers can order T1 now with immediate delivery.

What happened: - Astribot brought its T1 humanoid robot to North America for the first time at IROS 2026 in Pittsburgh, Pennsylvania. - The event runs Sept. 27-Oct. 1 at the David L. Lawrence Convention Center. - Astribot used the show to present its Physical AI stack, including Lumo models, an embodied operating system and the cable-driven T1 body. - Learn more at the company's announcement.

The details: - Astribot is a Shenzhen-rooted Physical AI company. - The company’s “Design for AI” approach treats intelligence, the operating system and the physical body as one integrated system. - The Lumo model family is built to connect reasoning and action in physical environments. - Lumo-1 introduced Astribot’s Reasoning-Action Foundation Model approach. - Lumo-2 extends the work into latent world-action modeling for more complex physical tasks. - T1 has demonstrated autonomous tidying of miscellaneous items into a backpack using the Lumo-2 base model. - Astribot says additional task capabilities depend on further training. - The embodied operating system is designed to connect AI capabilities with people, robots and physical environments. - Developers get SDK and API access for joint control, Cartesian motion, whole-body coordination and sensor data. - Astribot OS includes meta-packages and skill libraries for agentic behaviors and foundational functions. - The natural-language interface is designed to generate deployable robot applications from a single-line requirement. - At the second Astribot OS Hackathon, which ended Sept. 21 in Beijing, 15 teams built and demonstrated more than 10 functional applications on T1 in 36 hours, according to the company. - T1 uses a cable-driven architecture designed for dexterous manipulation, compliant interaction and high-speed movement. - The robot stands about 1.55 meters tall and weighs about 66 kilograms. - T1 has 23 degrees of freedom, excluding end effectors. - Each arm supports up to 5 kilograms of payload. - T1 supports automatic charging and quick battery replacement. - The modular design allows different end effectors, computing modules and sensors to be added for different tasks.

Between the lines: - Astribot is making a bet that robotics progress will come from tighter coupling between model design, robot mechanics and software tools. - The company’s development loop depends on collecting multimodal data from robot operation and teleoperation, then retraining models and pushing updated skills back out. - T1 does not learn autonomously in real time during deployment. - Customers can collect data for dedicated model training or during autonomous task execution. - The physical-body strategy also matters for performance, since Astribot wants the robot to expose richer interaction information to the intelligence stack.

What's next: - Astribot plans to continue training Lumo-2 to expand T1’s household-task capabilities. - Updated skills are delivered through over-the-air updates or on-site installation and calibration. - The company is aiming to grow T1 as a developer-accessible platform for physical AI research and real-world applications. - U.S. buyers can place orders now for immediate delivery.**

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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