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AR and Robotics is such an amazing combination The video doesn’t do it justice but interacting natively in 3D space is intuitive and feels natural This is @Spectacles driving a Reachy Mini from Hugging Face and Pollen Robotics Thanks again to SensAI Hackademy 🙂

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Johannes Tscharn

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54,715 просмотров • 8 месяцев назад •via X (Twitter)

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Pollen Robotics, a Hugging Face subsidiary, has open-sourced Amazing Hand, a 3D-printable, four-finger robotic hand with eight degrees of freedom (DoF). Weighing 400g and costing less than $250 - it is designed for Reachy2’s wrist but adaptable to other robots.

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Something big is happening in robotics - and it’s hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, Hugging Face datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include NVIDIA, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from AI World - link to the story and more viz/filters in comment.
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