At Automate 2026, FF completed its six-series EAI Robot World with humanoids, robot dogs, mobile manipulators, and a plan to make robots useful across schools, factories, research labs, and maybe someday your everyday life.
There are two ways to launch a robot.
The normal way is to put one machine onstage, make it wave, say something charming, maybe carry a box, and then promise the future is coming soon.
Faraday Future did something stranger at Automate in Chicago on June 22, 2026.
It brought the whole family.
Humanoids. Quadrupeds. Mobile manipulators. Education robots. Industrial robots. Research robots. Robot dogs small enough for a classroom. Full-size machines aimed at academic labs. Rolling operators built for inspection, logistics, and equipment tasks.
And underneath all of it, one big idea: what if the future of robotics is not one perfect robot, but one shared intelligence moving through many different bodies?
That is the thesis behind Faraday Future’s completed Full-Form FF EAI Robot World, which now spans six robot series across three form factors: humanoids, quadrupeds, and mobile manipulators.
Watch the Automate recap here if you want the full stage version: https://youtu.be/pE6hsu8ZSSo

The Brain Comes First. The Body Comes Second.
Most robotics companies obsess over the body.
How human does it look? How fast does it walk? Can it fold laundry? Can it carry boxes? Can it not fall over on camera?
Faraday Future is trying to flip that conversation.
Its strategy is built around what it calls “one brain, multiple forms.” The company wants to use a shared EAI Brain, built around VLA + World Model architecture, across a growing set of robot bodies.
That means the intelligence layer is the through-line. The robot dog, the humanoid, the industrial manipulator, and the future commercial service robot are not supposed to be totally separate islands. They are different embodiments of the same larger system.
In theory, that matters because every deployment creates data. Every task teaches the system something. Every new Skill or Agent can become part of a bigger ecosystem. A classroom robot can introduce the platform. A factory robot can generate real-world work data. A research humanoid can push motion-control experiments forward. The whole thing becomes less like a product catalog and more like a living map of Physical AI.
That is the wild part.
FF is not just launching robots. It is trying to launch a robot world with memory.
The $89,900 Humanoid Is the Academic Main Character
The showpiece is the All-New Futurist, a full-size humanoid robot priced at $89,900, including a premium Skills package valued at $10,000.
This is not being pitched like a toy. It is not “your robot butler is finally here.” It is a professional platform for institutions that need a serious humanoid for research, motion control, interaction, education, and early commercial deployment.
The All-New Futurist stands about 5 feet 8 inches, weighs around 121 pounds, and has 31 degrees of freedom across the body, excluding the hands. Its peak knee-joint torque reaches 320 N·m, and its 1,152 Wh dual-battery system supports around six hours of operation.
It also natively supports NVIDIA Sonic’s full-body motion control system. A future Ultra version will use Jetson Thor, pushing it further toward high-performance robotics research and complex autonomous applications.

The point is not subtle. FF wants universities, research labs, robotics teams, and commercial partners to see the All-New Futurist as a platform they can actually build on.
Faber Is Where the Factory Enters the Story
Then there is FF Faber, and this is where the launch gets more practical.
Faber is the company’s industrial-grade EAI mobile manipulator series. Think of it as the middle path between three familiar categories: fixed robotic arms, autonomous mobile robots, and humanoids.
A fixed arm is precise, but it stays put. An AMR can move, but it usually does not manipulate much. A humanoid is flexible, but expensive and energy-intensive. Faber is meant to move through industrial spaces, reach, grasp, inspect, transport, and operate with more stability than a walking robot.
The series includes three models.
Faber U is the advanced version, equipped with Thor AI compute, dual LiDAR, and multi-camera sensing.
Faber T is aimed at power inspection, energy infrastructure, and data centers, including high-risk operations like closing electrical switches.
Faber S offers the largest arm span and operating range, along with a full embodied-AI data collection toolchain. It is scheduled to debut at ISTE Live 26 on June 30.

This is the industrial ecosystem coming online. Education was the first ecosystem. Industry is the second.
Factories. Warehouses. Inspection routes. Security patrols. Equipment maintenance. Commercial services. That is where FF wants these robots to work.
The Robot Dog Was the Opening Act
The Chicago event also built on FF’s June 16 launch, where the company introduced FX Navi, its under-$2,000 educational quadruped robot designed for children, families, and classrooms.
That matters because Navi is not separate from the industrial story. It is the beginning of the pipeline.
A child learns with Navi. A school builds curriculum. A developer creates Skills. A lab experiments with Futurist. A business deploys Faber. All of that feeds the same bigger ecosystem: Devices, Data, EAI Brain, and Open-Source/Open Developer Platform.
That is the move.
Faraday Future is trying to create a system where robots are not just sold, but trained, customized, deployed, improved, shared, and monetized.
Explore the broader company ecosystem here: https://www.ff.com/
The Weirdest Idea Might Be the Most Important
The strangest announcement came through AIxC, which introduced an EAI ecosystem + Web3 strategy centered on robot sharing.
The company describes it as an “Uber + Turo” model for robotics.”
Strip away the buzzwords and the idea is fascinating: a robot does not have to sit idle after one owner buys it. It could become a shared productive asset. A company, school, or operator could theoretically put robots into a network where they are used across jobs, locations, or customers.
That turns the robot from hardware into infrastructure.
And that may be where the whole thing is heading.
Not one robot. Not one form. Not one market.
A robot civilization, with many bodies, one brain, and a business model built around motion.
That was the real story in Chicago.






