Meta has recently acquired Assured Robot Intelligence (ARI), a startup focused on advanced humanoid robotics, although the financial details of the deal remain undisclosed. According to a Meta spokesperson, the acquisition aims to enhance robotic intelligence, allowing machines to comprehend, anticipate, and adapt to human behaviours within complex settings.
Following the acquisition, ARI’s team, including co-founders Xiaolong Wang and Lerrel Pinto, will be integrated into Meta’s AI division, the Superintelligence Labs. ARI has previously secured funding from AIX Ventures, although the specifics of that investment were not revealed.
The startup was working on foundational models intended for humanoid robots capable of performing various manual tasks, such as household chores. Xiaolong Wang brings significant experience from his time at Nvidia and as an academic at UC San Diego, while Lerrel Pinto, former faculty at NYU and co-founder of another robotics venture, Fauna Robotics, boasts an impressive array of accolades as well.
This acquisition aligns with Meta’s aspirations in human-like robotics. The expertise from ARI will be beneficial in shaping Meta’s robotic models and enhancing capabilities in self-learning and overall humanoid control. Meta has been developing humanoid robotics technology for several years, as evidenced by a leaked memo that outlined its ambitions in creating AI-supported robots for consumer use.
Experts in AI suggest that even if Meta does not release a consumer product in humanoid robotics, the journey toward achieving artificial general intelligence (AGI)—the point where AI equals or exceeds human intelligence in various domains—will necessitate training AI in tangible environments where robots learn through real-world interactions, not just from data.
The ARI acquisition, alongside the recent acquisition of Fauna Robotics, signifies a broader trend within the industry, where predictions about the future market for humanoid robots vary significantly. Goldman Sachs projects the market could reach $38 billion by 2035, whereas Morgan Stanley estimates it could soar to $5 trillion by 2050. This disparity underscores both the extraordinary potential of this technology and the uncertainties it faces as it continues to develop.
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