Meta buys robotics startup to bolster its humanoid AI ambitions

Source: TechCrunch

Meta has acquired humanoid robotics startup Assured Robot Intelligence for an undisclosed sum, the social media giant announced.

Acquisition details

“We acquired Assured Robot Intelligence, a company at the frontier of robotic intelligence designed to enable robots to understand, predict, and adapt to human behaviors in complex and dynamic environments,” a Meta spokesperson told TechCrunch in an emailed statement.

ARI’s team, including its co‑founders, will join Meta’s AI unit, the Superintelligence Labs research division. The startup had previously raised an undisclosed seed round from AI seed firm AIX Ventures.

Team and background

Co‑founders

• Xiaolong Wang – former researcher at Nvidia and associate professor at UC San Diego. His achievements are listed on his personal page: list of prestigious awards.
• Lerrel Pinto – former NYU faculty member and co‑founder of the kid‑size humanoid startup Fauna Robotics, which was acquired by Amazon last month. He has also received a string of prestigious awards.

The startup was building foundation models for humanoid robots to perform physical labor such as household chores.

Strategic implications for Meta

“This team, led by Lerrel Pinto and Xiaolong Wang, will bring a deep expertise in how we can design our models and frontier capabilities for robot control and self‑learning to whole‑body humanoid control.”

Meta researchers have been working on humanoid robotics for years. A leaked memo from a year ago discussed Meta’s ambitions to build such a robot, including AI models and hardware aimed at consumers: Meta’s ambitions to build a humanoid robot.

Even if Meta never releases a consumer humanoid product, many AI experts believe that the path to artificial general intelligence (AGI) will require training AI models in the physical world, where robots learn through direct interaction rather than data alone.

Industry outlook

The ARI and Fauna deals reflect a broader industry sprint. Forecasts vary widely:

• Goldman Sachs projects a market size of $38 billion by 2035: source.
• Morgan Stanley estimates the market could reach $5 trillion by 2050: source.

These divergent estimates highlight both the enormous potential and the uncertainty surrounding a technology that is still finding its footing.