Meta Reportedly Builds Humanoid Robot Prototype With Fourier

Nov 1, 2026
Meta reportedly built a humanoid robot prototype called Max with Chinese startup Fourier in about three months and is working on a second version, The Information reported.

Meta Platforms, Inc. has built a humanoid robot prototype with Chinese robotics startup Fourier and is working on a second version, The Information reported, according to Reuters, which said it could not immediately verify the report.

The prototype, called Max, weighs about 106 pounds and was developed by the two companies in almost three months, The News reports. It stands around 1.5 meters tall, uses Nvidia's Jetson Thor chip, and has a screen designed to replicate human emotions, built-in speakers and five-fingered hands for handling smaller tasks.

Meta's robotics team reportedly travelled to China to work with Fourier, and Li-Chen Miller, Meta's vice president of product for robotics, was stationed at the startup's Shanghai factory for roughly two months. Max was presented to some Meta employees at an internal robotics summit in late August. A second prototype, Max 2, is meant to get a redesigned torso, improved hands and sensors to help it navigate stairs.

Meta sees humanoid robots as an extension of its Muse AI agent, with the long-term aim of machines that help with household tasks, according to the report. The company acquired Assured Robot Intelligence in May.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.