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      "statement": "# Octo Model Team: adaptable cross-embodiment diffusion policy resource\n\nCombined flexible observation/task tokenization, block-structured transformer processing and diffusion action decoding into an open policy initialization adaptable to new sensors, action spaces and robots.\n\n## Scientific scope\n\nThe method builds on transformers, action chunks, diffusion decoding and Open X-Embodiment data. Adaptation still requires target data and appropriate adapters; the reported results do not establish universal robot compatibility.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nDibya Ghosh; Homer Walke; Karl Pertsch; Kevin Black; Oier Mees; Sudeep Dasari; Joey Hejna; Tobias Kreiman; Ria Doshi; Charles Xu; Jianlan Luo; You Liang Tan; Pannag Sanketi; Quan Vuong; Ted Xiao; Dorsa Sadigh; Chelsea Finn; Sergey Levine\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [Octo: An Open-Source Generalist Robot Policy](https://arxiv.org/abs/2405.12213v1)\n- [Octo Model Team: adaptable cross-embodiment diffusion policy resource — original project](https://octo-models.github.io/)\n",
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