Data as of Sep 17, 2026 · Based on 3,310,041 AI responses across 10,525 prompts · See how Parse measures this
RT-Xrobotics-transformer-x.github.ioOpen X-Embodiment provides robotic learning datasets and RT-X models as part of a collaborative effort to advance embodied AI. It hosts and invites contributions to a diverse dataset, and offers code, data, papers, and blog posts to enable researchers to train large, high-capacity models on robotic tasks. The goal is to enable robust, generalizable robotic intelligence by leveraging transformer-based models and a broad multimodal dataset ecosystem.
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