Agile ONE SN Review: Specs, Price and Verdict

This Agile ONE SN review finds a well-specified research humanoid with a useful boundary: it is a development platform, not evidence that a general-purpose worker is ready for deployment. Agile Robots launched the 1.4 meter platform with NVIDIA on October 21, 2026 and says availability is scheduled for early 2027.[1] The published material has no price, independent task benchmark, reliability record or commercial deployment data.

This is a documentary review, not a hands-on test. We assessed Agile Robots' launch and product pages alongside NVIDIA's launch material. For another newly announced research humanoid with similar evidence limits, see our Unitree H2 Plus review. Our Jetson Thor vs AGX Orin guide explains why a compute headline does not predict a robot's task result.

What are the Agile ONE SN specs?

Agile ONE SN has a 31 degree of freedom body and two WUJI tactile five-finger hands with 20 degrees of freedom each, for 71 degrees of freedom in the vendor's total. Agile Robots also lists a 1.4 meter height, up to 140 Nm joint torque and up to 3 kg payload per arm.[1] Those are hardware specifications, not a published measure of manipulation success or safe operating limits across a shift.

*Table summary: Public Agile ONE SN specifications and what the sources do not establish. Sources: Agile Robots and NVIDIA, October 21, 2026.*

The sensor layout is better described than the operating envelope. Agile Robots lists a head RGB-D camera, wrist cameras, waist 3D lidar, Wi-Fi 7, Bluetooth and an emergency-stop button.[1] Neither company publishes battery capacity, charge time, walking speed, fall-recovery behavior, ingress rating or a task-specific safety case. That missing information matters more to a lab manager than the degree-of-freedom total.

What does NVIDIA Isaac GR00T add?

Agile ONE SN comes preconfigured with GR00T 1.7, whole-body control and a workflow that covers demonstration capture, data generation, simulation, training, evaluation, deployment and lab testing.[1] Agile Robots also provides URDF and USD assets for Isaac Sim and Isaac Lab.[2] The benefit is integration: a team can start with a known hardware and software combination instead of building each link itself.

NVIDIA frames the robot as a reference platform and says its own Isaac stack includes data, simulation and runtime components alongside the humanoid. NVIDIA also says planned Halos safety integration remains planned, rather than describing a completed safety certification or a deployed safety performance result.[3] Treat that distinction seriously. A planned software integration is not proof that the finished robot meets a particular workplace requirement.

The vendor says skills and data developed on Agile ONE SN can later transfer to the full-size Agile ONE industrial humanoid.[1] That is an engineering objective, not a published result. The reviewed material does not disclose a transfer benchmark, task set, success rate or comparison with retraining the full-size robot. Researchers should ask for those details before treating the smaller platform as a proxy for an industrial system.

Our view: The integrated workflow is the strongest argument for Agile ONE SN. The public record does not yet show whether that workflow produces repeatable skill transfer beyond a vendor demonstration.

Agile ONE SN versus Agile ONE: what is the difference?

The direct answer is that Agile ONE SN is the compact research platform, while Agile ONE is Agile Robots' full-size industrial counterpart. The company says researchers can move skills and data from SN toward the larger system, but it does not publish a matched task result that measures the transfer.[1]

The comparison is deliberately narrow because the reviewed sources do not give a complete Agile ONE specification or price. A genuine procurement comparison needs payload curves, reachable workspaces, duty cycle, service coverage, failure handling and safety documentation for both robots. None should be inferred from the smaller platform.

Evidence scorecard

*Scorecard text alternative: Robotsider rates published hardware detail and workflow documentation at 7 out of 10. Public evidence for real-world task performance scores 2, reliability 1, safety and standards evidence 2, and price clarity 1. These are evidence scores, not product test results. Sources: Agile Robots and NVIDIA, retrieved October 27, 2026.*

Is Agile ONE SN worth buying?

For a well-funded lab already committed to Isaac, it is worth evaluating when deliveries begin in 2027. The platform's value is its integrated workflow and accessible simulation assets, not a claim that 71 degrees of freedom has solved general-purpose manipulation.[1] Ask Agile Robots for a final configuration sheet, price, support agreement and a task demonstration that matches the lab's real objects and failure conditions.

Most other buyers should wait. The public evidence does not show how long the system runs, how it behaves after a fall, how often the hands need service, or how performance transfers to the larger robot. It also contains a basic 3 kg weight discrepancy between two first-party announcements. Small discrepancies are normal in launch material; they are still a reason to verify the purchase configuration in writing.

Agile ONE SN review: common questions

What is the Agile ONE SN price?

Agile Robots and NVIDIA do not disclose a price in the launch and product material reviewed here.

When will Agile ONE SN be available?

Agile Robots says Agile ONE SN is scheduled to be available at the beginning of 2027. That is a vendor schedule, not evidence of delivered units.

Does Agile ONE SN have independent task testing?

The reviewed sources describe vendor specifications and an NVIDIA-supported workflow. They do not provide an independent task benchmark, reliability study or published skill-transfer measurement.