Meta and Fourier Partner on Max Humanoid for Research and Home Applications
Meta has unveiled Max, a 150-centimeter humanoid prototype developed in collaboration with Fourier to serve as a research platform for physical AI and future domestic labor.
Meta has officially entered the humanoid hardware space with the introduction of Max, a prototype developed in partnership with Chinese robotics manufacturer Fourier. Standing 150 centimeters tall and weighing 48 kilograms, the machine is designed as a research vehicle to bridge the gap between digital AI and physical world interaction. This move signals Meta's intent to move beyond simulation and into the embodied AI market, where physical constraints often hinder software development.
The hardware appears to leverage the established manufacturing capabilities of Fourier, the firm behind the GR-2 and GR-1 models. Max features five-fingered hands, which are becoming the industry standard for robots intended to operate in human-centric environments. Unlike many industrial-first humanoids that prioritize high-payload lifting, Max is equipped with an expressive face screen, suggesting a focus on social interaction and service-oriented tasks rather than heavy logistics.
For operations managers and hardware engineers, the significance of Max lies in its role as a standardized platform for training. By providing a consistent hardware profile, Meta and Fourier aim to accelerate the development of dexterous manipulation and navigation skills. This collaborative model mirrors the approach taken by other tech giants who partner with specialized hardware firms to avoid the high capital expenditure of building proprietary manufacturing lines from scratch.
While the current iteration is labeled a prototype for research and future home assistance, the underlying technology will likely inform more robust industrial versions. The integration of Fourier's actuators and Meta's AI stack provides a competitive testbed against established players like Agility and Unitree. Future developments will likely focus on battery endurance and the transition from laboratory research to repeatable, real-world task performance.
Sources
- 01 Welcome, Max! — Humanoid.guide