Open-source AI platform Hugging Face has released the open-source robot Microduck (“Mini Duck”), priced at $399. Developed jointly by Hugging Face and Pollen Robotics, this tiny bipedal robot is only about 25 centimeters tall and weighs under 2 pounds. It will be manufactured in China and is positioned around being open-source, programmable, and reinforcement-learning friendly. Hugging Face hopes to bring physical AI out of expensive, professional robotics labs and into the hands of a wider range of developers and everyday users.
Unlike traditional robots that have pre-programmed movements, one of Microduck’s key selling points is that users can teach it new physical skills through reinforcement learning—by constantly “learning through trial and error.” Hugging Face CEO Clem Delangue told the media that this is the first affordable AI robot capable of teaching new skills through reinforcement learning; the team even designed it to be “made to move, ready to fall.”
Microduck can walk, pick up small objects, fall and get back up, and even skate. It doesn’t have conventional arms; instead, it performs grasping actions with a movable “duck bill,” capable of picking up objects weighing up to about 800 grams.
Hugging Face also wants to use this “little duck,” which looks more like a toy than industrial equipment, to help more people get involved with physical AI, reinforcement learning, and robot development: robots can fail and make mistakes, while developers must design and train them so they learn new actions through ongoing trial and error.
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