The purchase, completed on Friday, is Meta’s way of speeding up its work in humanoid technology, as a spokesperson stated. This shows a bigger investment in AI robots and a more competitive push with Tesla, Google and Amazon to get these humanoids to do things in the real world.
We don’t know how much Meta paid for Assured Robot Intelligence. However, Meta says the company is at the leading edge of “robotic intelligence” – meaning robots that can understand, anticipate, and respond to what people do in complicated, changing situations.
The Assured Robot Intelligence team, Lerrel Pinto and Xiaolong Wang being the co-founders, will now be part of Meta Superintelligence Labs. They will be working closely with Meta Robotics Studio, the team that started last year to create the central technologies for humanoids.
Why Meta is betting on humanoids
Meta is putting a lot of money into humanoids, which are robots that move like people and help with physical jobs. This new field is quickly gaining traction with the biggest companies in the industry.
Meta is aiming to reduce the difference between how AI works in a computer simulation and how it works in the real world by bringing together sophisticated AI programs with the physical robot. They see humanoids as a realistic way for AI to operate safely and dependably in complicated environments.
What Assured Robot Intelligence brings
Most Assured Robot Intelligence employees were in San Diego and New York. Meta believes the team will bring a great deal of skill in robot control, self-learning, and controlling a humanoid’s entire body.
Wang previously did research at Nvidia. Pinto started Fauna Robotics before leaving in 2025; Amazon bought Fauna in March to help with their humanoid robot project.
According to Meta, the acquisition will support these efforts:
– Design frontier AI models for robot control and self-learning
– Advance whole-body humanoid control across dynamic environments
– Integrate with Meta Robotics Studio’s humanoid stack
How Meta plans to use the tech
Meta’s robotics group is both creating their own humanoid robot hardware and the AI that will run it. This includes the sensors, software and other technology needed for reliability and safety in the real world.
The company intends to share some of this technology with others in the industry. Meta’s ambition is to be to humanoids what Android and Qualcomm are to phones: a standard base that speeds up the growth of the entire humanoid system.
Competitive ties and industry momentum
Tesla, Alphabet (Google’s parent company), and Amazon are all making substantial investments in humanoid robots. Meta’s entrance into the field through Assured Robot Intelligence shows how AI research, robotics and large-scale production are starting to come together.
This also fits in with recent movements of people and startups. With Wang’s experience at Nvidia and Pinto’s background with Fauna, Meta is gaining expertise that connects to competitor’s projects that are already underway.
The business backdrop
Meta announced that for the first three months of 2026 they made $10.44 per share, on revenues of $56.31 billion. Strong growth in advertising and increased investment in AI drove the results, and this financial strength gives Meta the money to fund their long-term robotics work.
What happens next
The acquired team is now part of Meta Superintelligence Labs and will be working with Meta Robotics Studio immediately. The main goal is to combine learning-based control with control of the entire robot body to make safe, flexible humanoid behaviour happen more quickly.
Key priorities now, as outlined by Meta, include building models that generalise across tasks and environments. The company aims to translate those advances into sensors, software and reference platforms that others can adopt:
– Share robotics technologies to reduce duplication across the industry
– Encourage common standards for humanoid interfaces and safety
We don’t know the price paid for the company, but Meta’s overall plan is very clear. They want to lead the development of AI for humanoids by combining research skills, a plan for a platform and making their own equipment, and then sharing key technologies so they can be used on a larger scale than just within Meta.
