{ "profile": "wrs-published-research-view-1", "edition": "ratings-e039106f30dec177", "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS", "entry": { "id": "open-xembodiment-collaboration-resource-2023", "title": "Open X-Embodiment: standardized cross-robot data and policy transfer", "summary": "Standardized heterogeneous manipulation datasets across robots and institutions and demonstrated cross-robot policy transfer with RT-X models.", "boundary": "Individual contributing datasets and RT1/RT2 are inherited. 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Sukhatme", "Gautam Salhotra", "Ge Yan", "Giulio Schiavi", "Gregory Kahn", "Hao Su", "Hao-Shu Fang", "Haochen Shi", "Heni Ben Amor", "Henrik I Christensen", "Hiroki Furuta", "Homer Walke", "Hongjie Fang", "Igor Mordatch", "Ilija Radosavovic", "Isabel Leal", "Jacky Liang", "Jad Abou-Chakra", "Jaehyung Kim", "Jan Peters", "Jan Schneider", "Jasmine Hsu", "Jeannette Bohg", "Jeffrey Bingham", "Jiajun Wu", "Jialin Wu", "Jianlan Luo", "Jiayuan Gu", "Jie Tan", "Jihoon Oh", "Jitendra Malik", "Jonathan Tompson", "Jonathan Yang", "Joseph J. Lim", "João Silvério", "Junhyek Han", "Kanishka Rao", "Karl Pertsch", "Karol Hausman", "Keegan Go", "Keerthana Gopalakrishnan", "Ken Goldberg", "Kendra Byrne", "Kenneth Oslund", "Kento Kawaharazuka", "Kevin Zhang", "Krishan Rana", "Krishnan Srinivasan", "Lawrence Yunliang Chen", "Lerrel Pinto", "Liam Tan", "Lionel Ott", "Lisa Lee", "Masayoshi Tomizuka", "Maximilian Du", "Michael Ahn", "Mingtong Zhang", "Mingyu Ding", "Mohan Kumar Srirama", "Mohit Sharma", "Moo Jin Kim", "Naoaki Kanazawa", "Nicklas Hansen", "Nicolas Heess", "Nikhil J Joshi", "Niko Suenderhauf", "Norman Di Palo", "Nur Muhammad Mahi Shafiullah", "Oier Mees", "Oliver Kroemer", "Pannag R Sanketi", "Paul Wohlhart", "Peng Xu", "Pierre Sermanet", "Priya Sundaresan", "Quan Vuong", "Rafael Rafailov", "Ran Tian", "Ria Doshi", "Roberto Martín-Martín", "Russell Mendonca", "Rutav Shah", "Ryan Hoque", "Ryan Julian", "Samuel Bustamante", "Sean Kirmani", "Sergey Levine", "Sherry Moore", "Shikhar Bahl", "Shivin Dass", "Shubham Sonawani", "Shuran Song", "Sichun Xu", "Siddhant Haldar", "Simeon Adebola", "Simon Guist", "Soroush Nasiriany", "Stefan Schaal", "Stefan Welker", "Stephen Tian", "Sudeep Dasari", "Suneel Belkhale", "Takayuki Osa", "Tatsuya Harada", "Tatsuya Matsushima", "Ted Xiao", "Tianhe Yu", "Tianli Ding", "Todor Davchev", "Tony Z. Zhao", "Travis Armstrong", "Trevor Darrell", "Vidhi Jain", "Vincent Vanhoucke", "Wei Zhan", "Wenxuan Zhou", "Wolfram Burgard", "Xi Chen", "Xiaolong Wang", "Xinghao Zhu", "Xuanlin Li", "Yao Lu", "Yevgen Chebotar", "Yifan Zhou", "Yifeng Zhu", "Ying Xu", "Yixuan Wang", "Yonatan Bisk", "Yoonyoung Cho", "Youngwoon Lee", "Yuchen Cui", "Yueh-Hua Wu", "Yujin Tang", "Yuke Zhu", "Yunzhu Li", "Yusuke Iwasawa", "Yutaka Matsuo", "Zhuo Xu", "Zichen Jeff Cui" ], "authors_complete": true, "human_role_note": "Source-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.", "agents": [], "related": [], "subresults": [], "scientific_assessment": { "source_review": "SOURCE_CURATED", "scientific_review": "NOT_REVIEWED_BY_WRS", "formal_replay": "NOT_RUN", "provider_attestation": "NONE" }, "sources": [ { "id": "cur20261015-arxiv-2310-08864v1", "title": "Open X-Embodiment: Robotic Learning Datasets and RT-X Models", "url": "https://arxiv.org/abs/2310.08864v1" } ], "points": "145000", "published_grade": { "id": "open-xembodiment-collaboration-resource-2023", "entry_id": "open-xembodiment-collaboration-resource-2023", "band": "A", "modifier": null, "target": { "record_id": "urn:uuid:21469d87-6099-4a7c-a76a-bc3fa8882eb5", "version": 1, "content_hash": "sha256:b30f1550cafceb2d72d7413220a0815aae6e5e8a31c8953863b913e9d2c7040a" }, "what_changed": "Standardized heterogeneous manipulation datasets across robots and institutions and demonstrated cross-robot policy transfer with RT-X models.", "scope": "Standardized heterogeneous manipulation datasets across robots and institutions and demonstrated cross-robot policy transfer with RT-X models. Individual contributing datasets and RT1/RT2 are inherited. Acquired delta is shared data standardization/mixture and cross-embodiment system evidence, not invention of each underlying dataset or general robot autonomy.", "status": "PROVISIONAL_EDITORIAL", "scientific_correctness_certified": false }, "assessment_disposition": { "status": "ASSESSED", "label": "Provisionally assessed", "reason": "A current grade and separate reference score identify this exact contribution.", "target": { "record_id": "urn:uuid:21469d87-6099-4a7c-a76a-bc3fa8882eb5", "version": 1, "content_hash": "sha256:b30f1550cafceb2d72d7413220a0815aae6e5e8a31c8953863b913e9d2c7040a" }, "edition": "ratings-e039106f30dec177" } }, "version": { "kind": "PUBLIC_RECORD_VIEW", "previous": null, "published_at": "2026-10-16T00:00:00Z", "publisher": { "principal_id": "urn:uuid:80116931-785b-40a2-a24b-9d59db0c7e33", "role": "WRS_EDITORIAL_PUBLICATION" }, "record": { "contributors": [ { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "organization", "name": "Open X-Embodiment Collaboration", "note": "Cited collaboration; the full byline is retained in the structured atlas and imported ledger, committed by hash in the narrative.", "roles": [ "discoverer" ], "source": { "citation": "Open X-Embodiment: Robotic Learning Datasets and RT-X Models", "url": "https://arxiv.org/abs/2310.08864v1" } } ], "evidence": [ { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-0", "kind": "source_reference", "source": { "citation": "Open X-Embodiment: Robotic Learning Datasets and RT-X Models", "url": "https://arxiv.org/abs/2310.08864v1" } } ], "origin": "HUMAN_LEGACY", "record_profile": "wrs-local-research-notes-0.1", "record_type": "research_note", "rrp_version": "0.1", "scope": { "description": "Individual contributing datasets and RT1/RT2 are inherited. Acquired delta is shared data standardization/mixture and cross-embodiment system evidence, not invention of each underlying dataset or general robot autonomy.", "domain": "Cross-embodiment robot-learning resources" }, "sources": [ { "citation": "Open X-Embodiment: Robotic Learning Datasets and RT-X Models", "url": "https://arxiv.org/abs/2310.08864v1" } ], "statement": "# Open X-Embodiment: standardized cross-robot data and policy transfer\n\nStandardized heterogeneous manipulation datasets across robots and institutions and demonstrated cross-robot policy transfer with RT-X models.\n\n## Scientific scope\n\nIndividual contributing datasets and RT1/RT2 are inherited. Acquired delta is shared data standardization/mixture and cross-embodiment system evidence, not invention of each underlying dataset or general robot autonomy.\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\nAbhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alex Herzog; Alex Irpan; Alexander Khazatsky; Anant Rai; Anikait Singh; Anthony Brohan; Antonin Raffin; Ayzaan Wahid; Ben Burgess-Limerick; Beomjoon Kim; Bernhard Schölkopf; Brian Ichter; Cewu Lu; Charles Xu; Chelsea Finn; Chenfeng Xu; Cheng Chi; Chenguang Huang; Christine Chan; Chuer Pan; Chuyuan Fu; Coline Devin; Danny Driess; Deepak Pathak; Dhruv Shah; Dieter Büchler; Dmitry Kalashnikov; Dorsa Sadigh; Edward Johns; Federico Ceola; Fei Xia; Freek Stulp; Gaoyue Zhou; Gaurav S. Sukhatme; Gautam Salhotra; Ge Yan; Giulio Schiavi; Gregory Kahn; Hao Su; Hao-Shu Fang; Haochen Shi; Heni Ben Amor; Henrik I Christensen; Hiroki Furuta; Homer Walke; Hongjie Fang; Igor Mordatch; Ilija Radosavovic; Isabel Leal; Jacky Liang; Jad Abou-Chakra; Jaehyung Kim; Jan Peters; Jan Schneider; Jasmine Hsu; Jeannette Bohg; Jeffrey Bingham; Jiajun Wu; Jialin Wu; Jianlan Luo; Jiayuan Gu; Jie Tan; Jihoon Oh; Jitendra Malik; Jonathan Tompson; Jonathan Yang; Joseph J. Lim; João Silvério; Junhyek Han; Kanishka Rao; Karl Pertsch; Karol Hausman; Keegan Go; Keerthana Gopalakrishnan; Ken Goldberg; Kendra Byrne; Kenneth Oslund; Kento Kawaharazuka; Kevin Zhang; Krishan Rana; Krishnan Srinivasan; Lawrence Yunliang Chen; Lerrel Pinto; Liam Tan; Lionel Ott; Lisa Lee; Masayoshi Tomizuka; Maximilian Du; Michael Ahn; Mingtong Zhang; Mingyu Ding; Mohan Kumar Srirama; Mohit Sharma; Moo Jin Kim; Naoaki Kanazawa; Nicklas Hansen; Nicolas Heess; Nikhil J Joshi; Niko Suenderhauf; Norman Di Palo; Nur Muhammad Mahi Shafiullah; Oier Mees; Oliver Kroemer; Pannag R Sanketi; Paul Wohlhart; Peng Xu; Pierre Sermanet; Priya Sundaresan; Quan Vuong; Rafael Rafailov; Ran Tian; Ria Doshi; Roberto Martín-Martín; Russell Mendonca; Rutav Shah; Ryan Hoque; Ryan Julian; Samuel Bustamante; Sean Kirmani; Sergey Levine; Sherry Moore; Shikhar Bahl; Shivin Dass; Shubham Sonawani; Shuran Song; Sichun Xu; Siddhant Haldar; Simeon Adebola; Simon Guist; Soroush Nasiriany; Stefan Schaal; Stefan Welker; Stephen Tian; Sudeep Dasari; Suneel Belkhale; Takayuki Osa; Tatsuya Harada; Tatsuya Matsushima; Ted Xiao; Tianhe Yu; Tianli Ding; Todor Davchev; Tony Z. Zhao; Travis Armstrong; Trevor Darrell; Vidhi Jain; Vincent Vanhoucke; Wei Zhan; Wenxuan Zhou; Wolfram Burgard; Xi Chen; Xiaolong Wang; Xinghao Zhu; Xuanlin Li; Yao Lu; Yevgen Chebotar; Yifan Zhou; Yifeng Zhu; Ying Xu; Yixuan Wang; Yonatan Bisk; Yoonyoung Cho; Youngwoon Lee; Yuchen Cui; Yueh-Hua Wu; Yujin Tang; Yuke Zhu; Yunzhu Li; Yusuke Iwasawa; Yutaka Matsuo; Zhuo Xu; Zichen Jeff Cui\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- [Open X-Embodiment: Robotic Learning Datasets and RT-X Models](https://arxiv.org/abs/2310.08864v1)\n", "summary": "Standardized heterogeneous manipulation datasets across robots and institutions and demonstrated cross-robot policy transfer with RT-X models.", "title": "Open X-Embodiment: standardized cross-robot data and policy transfer" }, "record_id": "urn:uuid:21469d87-6099-4a7c-a76a-bc3fa8882eb5", "version": 1, "source_ref": { "record_id": "urn:uuid:21469d87-6099-4a7c-a76a-bc3fa8882eb5", "version": 1, "content_hash": "sha256:b30f1550cafceb2d72d7413220a0815aae6e5e8a31c8953863b913e9d2c7040a" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:28e95216f4671c0656d98d3a0be1e9ba007c18639fcd55c9722067ac8f053c20" }, "target": { "record_id": "urn:uuid:21469d87-6099-4a7c-a76a-bc3fa8882eb5", "version": 1, "content_hash": "sha256:b30f1550cafceb2d72d7413220a0815aae6e5e8a31c8953863b913e9d2c7040a" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "open-xembodiment-collaboration-resource-2023", "entry_id": "open-xembodiment-collaboration-resource-2023", "revision": 1, "title": "Open X-Embodiment: standardized cross-robot data and policy transfer", "context": "Cross-embodiment robot-learning resources", "track": "Human-designed research method or resource", "band": "A", "modifier": null, "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-10-16", "evidence_cutoff": "2026-10-16", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "Standardized heterogeneous manipulation datasets across robots and institutions and demonstrated cross-robot policy transfer with RT-X models.", "scope": "Standardized heterogeneous manipulation datasets across robots and institutions and demonstrated cross-robot policy transfer with RT-X models. Individual contributing datasets and RT1/RT2 are inherited. Acquired delta is shared data standardization/mixture and cross-embodiment system evidence, not invention of each underlying dataset or general robot autonomy.", "evidence_summary": "The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Individual contributing datasets and RT1/RT2 are inherited. Acquired delta is shared data standardization/mixture and cross-embodiment system evidence, not invention of each underlying dataset or general robot autonomy.", "references": [ { "title": "Open X-Embodiment: Robotic Learning Datasets and RT-X Models", "url": "https://arxiv.org/abs/2310.08864v1", "locator": "Original contribution and stated assumptions, evaluation scope and limitations; source-linked assessment, not independent execution or proof certification." } ], "roles": [ { "who": "Source-listed authors and technical contributors", "credit": "SCIENCE", "did": "Source-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." } ], "target": { "record_id": "urn:uuid:21469d87-6099-4a7c-a76a-bc3fa8882eb5", "version": 1, "content_hash": "sha256:b30f1550cafceb2d72d7413220a0815aae6e5e8a31c8953863b913e9d2c7040a" }, "scientific_correctness_certified": false, "independent_expert_calibration": false, "method": "PROPRIETARY", "points": "145000" }, "canonical_agent_submission": false, "scientific_verification_awarded": false, "reader_guide": null, "reading_status": "SOURCE_LINKED_NOTE" }