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Hugging Face Unveils New Humanoid Robots

Posted 10 days ago by Anonymous

Open-Source Robotics Breakthrough

AI development platform Hugging Face has entered the robotics arena with two groundbreaking humanoid models – HopeJR and Reachy Mini. Released as open-source projects, these robots promise to democratize robotics development with accessible pricing and transparent technology.

The New Humanoid Lineup

The flagship HopeJR stands out as a full-size humanoid featuring 66 actuated degrees of freedom, enabling sophisticated movements including walking and precise arm manipulation. For more compact applications, the Reachy Mini serves as an affordable desktop unit equipped with speech capabilities, head movement, and AI application testing functionality.

Affordable Pricing and Availability

Hugging Face estimates that HopeJR will retail for approximately $3,000, while Reachy Mini comes in at just $250-$300. The company plans initial shipments by year-end 2025, with the waitlist now open to early adopters and developers.

“These robots represent our commitment to open, accessible robotics that anyone can understand, modify, and rebuild,” explained Hugging Face CEO Clem Delangue. “We’re preventing domination by proprietary black-box systems from major corporations.”

Strategic Expansion in Robotics

The robotics initiative builds on Hugging Face’s acquisition of Pollen Robotics in April 2025, which provided crucial humanoid robotics expertise. The company has been systematically expanding its robotics ecosystem, including:

  • The LeRobot platform (launched 2024) – Open AI models, datasets, and robotics tools
  • SO-101 robotic arm – 3D-printed, programmable hardware developed with The Robot Studio
  • Self-driving vehicle training data through partnership with Yaak

The Future of Accessible Robotics

With these releases, Hugging Face positions itself at the forefront of AI-powered robotics innovation, offering researchers and developers affordable alternatives to expensive proprietary systems. The open-source approach could accelerate advancements in humanoid robotics applications across industries from healthcare to education.