Hugging Face democratises AI-powered robotics with new tutorial
Hugging Face aims to democratise robotics with the release of a tutorial that empowers developers of all skill levels to build their own AI-powered robots.
The tutorial teaches developers to train neural networks capable of interpreting camera feeds and converting them into motor functions, much like a Large Language Model (LLM) processes text.
“You will learn how to train a neural network to directly predict the next motor rotations straight from camera images,” explained Rémi Cadene, Principal Research Scientist at Hugging Face.
The beating heart of the project is the Koch v1.1, an affordable robotic arm designed by Jess Moss. Building upon Alexander Koch’s original design, this iteration boasts a simplified assembly process and enhanced capabilities.
Hugging Face leaves nothing to chance, providing detailed video guides that walk users painstakingly through each step of the assembly process. This ensures that even those completely new to robotics can successfully build their very own AI-powered arm, significantly lowering the barrier to entry for a traditionally complex field.
But Hugging Face is about more than just instruction manuals – they’re fostering a community. The platform provides tools for visualising and sharing datasets, encouraging users to contribute to a rapidly growing repository of robotic movement data.
“If we all record datasets and share them on the hub,” Cadene explained, “everyone will be able to train an AI with unmatched abilities to perceive the world and act on it!”
Looking ahead, Cadene teased the development of the Moss v1, an even more accessible robot. This new model aims to obliterate cost barriers by offering two robotic arms for $150, eliminating the need for 3D printing and putting the power of robotics in the hands of even more people.
With industries increasingly turning towards automation as a solution to complex problems, the fusion of AI and physical systems represents the next great technological leap forward. Hugging Face’s open-source approach ensures these advancements aren’t locked away in the ivory towers of tech giants but are accessible to everyone.
You can find Hugging Face’s robotics tutorial on GitHub here.
(Image Credit: Hugging Face)
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