As our customers scale to training robot models using millions of hours of our recordings, we needed to build a new kind of data infrastructure. Terabytes of data delivered in minutes, and the capacity to deliver over a Petabyte per day to each of our customers, to multiple customers at the same time. That’s more than 10 Gigabytes a second, delivered into any cloud, wherever our customers need it. Using our customer portal, customers select precisely the data they want and it starts arriving in minutes at their destination, including AWS, GCP, Cloudflare, Hugging Face and any cloud provider who can handle the ingest speed. We’ve written about how we worked with @huggingface and @Cloudflare to build this secure, scalable infrastructure. Link in comments.

We release Gen-HumanWholeBody, an egocentric whole-body manipulation dataset with industry's highest precision. The dataset is now open-source! 🚀 🚶600 hours of whole-body manipulation data 🎯 ~3 cm whole-body MPJPE 🌍 16,976 real-world scenarios 🦾 1,281 human skills We’re opening this dataset to help researchers and developers advance whole-body motion learning, human-to-robot transfer and embodied foundation models. Contact Us:opendata@genrobot.ai Discord:

you balanced your robot dataset by embodiment. the embeddings say you balanced it by recording session i pulled 10 episodes from each of the 50 robot types in lerobot's community dataset and embedded every clip with qwen3-vl 1. 495 of 497 clips have their nearest neighbor in the same session 2. 292 score below 0.1 uniqueness 3. the two "most unique" clips are single-frame recordings, 0.02 seconds long filter the session out and the cross-embodiment signal shows up: a cloth fold on one rig lands next to so100 arms folding cloth i indexed all 497 episodes in fiftyone so you can search by text, cut the near-duplicates, and export a curated lerobot v3 subset one prompt to an agent with fiftyone skills built the whole thing start here, read the full blog: read the dataset card: @LeRobotHF @Alibaba_Qwen

OpenAI's @cdngdev predicts robotics will have its own version of the 3D printing craze, with people buying cheap, open-source robot arms and connecting them to agents. "I can see a world quite soon where, similar to when everyone went and bought 3D printers and ran software, everyone's going to buy plastic, cheaper robot arms that you can clip onto a table, put stuff in front of, and plug them into agents." "The price of classic robotics equipment is thousands of dollars at the moment. This arm I'm using here is a Hugging Face SO-100 robot, which is open source, fully 3D printable, and around $200." "People can just pull up Codex and start controlling robots with it right now."