Agile Robots Unveils Agile ONE SN Humanoid Built on Nvidia GR00T

Munich-based Agile Robots has unveiled Agile ONE SN, a compact humanoid robot designed as a ready-made research platform, at Nvidia’s GTC Berlin conference on October 21, 2026. Built on Nvidia’s Isaac GR00T robot software and powered by a Jetson Thor onboard computer, the robot is meant to give labs a standard humanoid they can start experimenting with in days rather than weeks. Nvidia says it is scheduled to be available in early 2027.

What is Agile ONE SN?

Agile ONE SN is a “reference” humanoid: a complete package of body, sensors, computer and software intended for robotics researchers and developers rather than consumers or factories. Instead of each lab assembling its own hardware and software stack, the idea is to offer one validated platform that works with Nvidia’s simulation and training tools out of the box.

Nvidia says the approach can cut setup time for researchers from weeks to days by tying together simulation, training and deployment. The company named Stanford University and ETH Zurich as leading institutions that have shown interest in the robot.

Agile ONE SN specs

According to Nvidia’s announcement, the robot is built on Agile Robots’ Agile ONE S body and includes:

• Size: 1.40 meters (4.59 feet) tall and 40 kilograms (88 pounds).
• Mobility: 31 degrees of freedom across the body, with a 3-kilogram payload per arm.
• Hands: Two five-fingered WUJI Hand 2 units, each with 20 degrees of freedom, tactile sensing and 1 kHz force control.
• Compute: Nvidia Jetson Thor, rated at up to 2,070 FP4 teraflops with 128 GB of unified memory.
• Sensors: Cameras in the head and wrists, lidar and inertial measurement units.
• Safety: Planned integration with Nvidia Halos, the company’s robotics safety platform.

No price has been announced, and GadgetScout notes that no precise launch date or UK sales channel has been confirmed.

Why Nvidia is backing a reference humanoid

The launch was one of several robotics updates Nvidia made at GTC Berlin, which ran from October 20 to 22. Alongside the robot, Nvidia made Isaac Lab 3.0, its open-source robot learning framework, generally available and introduced Isaac OS, an open-source runtime built on its Holoscan platform that links AI models, sensors and robot controls in real time.

The company also published a library of more than 2,000 simulation-ready robot and factory assets on Hugging Face. A standard humanoid running on Nvidia’s chips and models gives researchers a common target for all of these tools, and gives Nvidia another way to anchor the emerging humanoid ecosystem to its hardware.

Nvidia CEO Jensen Huang framed the moment in sweeping terms, saying “the ChatGPT moment for robotics is fast approaching.” Agile Robots founder and CEO Zhaopeng Chen, for his part, argued that usefulness at scale is the real breakthrough humanoids need.

Who is Agile Robots?

Agile Robots was founded in 2018 as a spin-off from the German Aerospace Center (DLR) and is headquartered in Munich, according to Crypto Briefing. A 2021 funding round led by SoftBank valued the company at around $1 billion, and its investors include SoftBank and Xiaomi.

The company showed a full-size humanoid, the Agile ONE, in November 2025. Crypto Briefing reports that production of the standard Agile ONE S and the new SN version is planned to start by the end of 2026, with output projected at 1,000 to 2,000 humanoid robots in 2027. The outlet also lists NEURA Robotics as a competitor in Europe’s humanoid market.

How it fits into the humanoid robot race

Humanoid robots were a major theme of GTC Berlin, where Nvidia listed European robotics companies including ABB Robotics, KUKA, NEURA Robotics, Humanoid and Universal Robots among those building on its platforms. Most of these efforts target industrial work, while Agile ONE SN is pitched squarely at the research labs that develop the next generation of robot skills.

That positioning matters because research groups often spend significant time on integration before any learning experiments begin. A shared platform could also make results easier to compare across institutions.

What happens next

The key milestones to watch are the early 2027 availability window, final pricing, and whether Agile Robots hits its production targets. Integration with Nvidia Halos safety tools is also still listed as planned, with no timeline given. If the platform ships as described, it would give research labs an off-the-shelf humanoid designed around Nvidia’s robot learning stack.