AI dev platform Hugging Face continued its push into robotics on Thursday with the discharge of two new humanoid robots.
The corporate introduced a pair of open-source robots, HopeJR and Reachy Mini. HopeJR is a full-size humanoid robotic that has 66 actuated levels of freedom, or 66 impartial actions, together with the flexibility to stroll and transfer its arms. Reachy Mini is a desktop unit that may transfer its head, discuss, hear, and be used to check AI apps.
Hugging Face doesn’t have a precise timeline for delivery these robots. The corporate’s co-founder and CEO, Clem Delangue, instructed TechCrunch over e mail that they count on to begin delivery at the very least the primary few items by the top of the 12 months, and the waitlist is at the moment open.
Hugging Face estimates that the HopeJR will value round $3,000 per unit and the Reachy Mini will value round $250-$300, relying on tariffs.
“The important aspect is that these robots are open source, so anyone can assemble, rebuild, [and] understand how they work, and [that they’re] affordable, so that robotics doesn’t get dominated by just a few big players with dangerous black-box systems,” Delangue stated by way of e mail.
This robotic launch was made doable partly by the corporate’s acquisition of humanoid robotics startup Pollen Robotics, which was introduced in April, in accordance with Delangue. He added that the Pollen staff gave Hugging Face “new capabilities” required to make these bots.
Hugging Face has been making a concerted push into the robotics business over the previous few years. It launched LeRobot, a group of open AI fashions, knowledge units, and instruments to construct robotics methods, in 2024.
To this point in 2025, the corporate has launched an up to date model of its 3D-printed and programmable robotic arm, the SO-101, which the corporate inbuilt a partnership with French robotics agency The Robotic Studio. It additionally expanded the coaching knowledge on its LeRobot platform, by a partnership with AI startup Yaak, to incorporate coaching knowledge for self-driving machines.
