SAN FRANCISCO — Hugging Face, the AI platform known primarily as a hub for open-source software models, unveiled a small robotic duck Thursday that developers, students and hobbyists can train at home using reinforcement learning, marking the company's latest push into affordable, open-source physical AI hardware.

The device, called Microduck, is now available for pre-order at $399, with shipments expected before Christmas, according to TechCrunch. The launch was announced by Hugging Face co-founder and CEO Clément Delangue on social media Thursday morning.

A tiny robot built for experimentation

Standing just 25 centimeters, or roughly 9.8 inches, tall and weighing about 800 grams, or under 2 pounds, Microduck is designed less as a finished consumer gadget and more as a hands-on platform for people interested in experimenting with reinforcement learning and what the industry calls "physical AI" — systems that learn to interact with the real world rather than operating purely in software.

Delangue described the device in direct terms on social media. "It's a tiny $399 open-source robot you can teach new tricks with reinforcement learning," Delangue said, according to TechCrunch.

What it can do out of the box

Microduck ships with seven pre-trained behaviors, according to a report from Tao Media: it can walk, sit, stand, kick, grab small objects, roller-skate and recover to its feet after falling over. The robot's articulated beak doubles as a small gripper, allowing it to pick up objects weighing up to 800 grams. A........

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