{"id":"https://openalex.org/W7163418614","doi":"https://doi.org/10.48550/arxiv.2606.03392","title":"OpenEAI-Platform: An Open-source Embodied Artificial Intelligence Hardware-Software Unified Platform","display_name":"OpenEAI-Platform: An Open-source Embodied Artificial Intelligence Hardware-Software Unified Platform","publication_year":2026,"publication_date":"2026-06-02","ids":{"openalex":"https://openalex.org/W7163418614","doi":"https://doi.org/10.48550/arxiv.2606.03392"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.03392","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03392","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.03392","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137768299","display_name":"Jinyuan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jinyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137789358","display_name":"Luoyi Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Luoyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137742971","display_name":"Leiyu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Leiyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137765481","display_name":"Yeqiang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yeqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137781351","display_name":"Yicheng Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Yicheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137735477","display_name":"Cewu Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Cewu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077493772","display_name":"Nanyang Ye","orcid":"https://orcid.org/0000-0003-3129-3953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Nanyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.5849999785423279,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.5849999785423279,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.0697999969124794,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.06549999862909317,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robotic-arm","display_name":"Robotic arm","score":0.5472000241279602},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5467000007629395},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5250999927520752},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.522599995136261},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.47679999470710754},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4571000039577484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6198999881744385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5938000082969666},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5467000007629395},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.522599995136261},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4571000039577484},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.4368000030517578},{"id":"https://openalex.org/C192327766","wikidata":"https://www.wikidata.org/wiki/Q1038799","display_name":"Cognitive robotics","level":3,"score":0.4212000072002411},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3395000100135803},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3158000111579895},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C17511633","wikidata":"https://www.wikidata.org/wiki/Q830694","display_name":"SMT placement equipment","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.03392","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03392","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.03392","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.03392","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6861606240272522,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Embodied":[0],"AI":[1],"in":[2,68],"the":[3,90,100,113,139],"real":[4],"world":[5],"requires":[6],"both":[7],"accurate":[8],"hardware":[9,115],"and":[10,32,47,58,65,75,93,119,126,133],"robust":[11],"vision-language-action":[12],"(VLA)":[13],"policies.":[14],"We":[15,110],"present":[16],"OpenEAI-Platform,":[17],"a":[18,24,33,60],"fully":[19],"open-source":[20,40,73],"platform":[21],"that":[22],"integrates":[23],"low-cost":[25],"6+1":[26],"degree-of-freedom":[27],"(dof)":[28],"robotic":[29],"arm":[30],"(OpenEAI-Arm)":[31],"reproducible":[34,124],"VLA":[35],"model":[36],"(OpenEAI-VLA).":[37],"OpenEAI-Arm":[38,83],"provides":[39],"mechanical":[41],"designs":[42],"for":[43,51],"low":[44],"manufacturing":[45],"cost":[46],"compliant":[48],"control":[49],"methods":[50],"higher":[52],"accuracy.":[53],"OpenEAI-VLA":[54,94],"builds":[55],"on":[56],"Qwen3-VL-4B":[57],"uses":[59],"Diffusion":[61],"Transformer":[62],"action":[63],"head,":[64],"is":[66,141],"trained":[67],"two":[69,85],"stages":[70],"with":[71,105],"only":[72,106],"robot":[74],"multimodal":[76],"datasets.":[77],"Across":[78],"four":[79],"real-world":[80],"manipulation":[81],"tasks,":[82],"outperforms":[84],"commercial":[86],"6+1-dof":[87],"arms":[88],"under":[89],"same":[91],"policy,":[92],"achieves":[95],"success":[96],"rates":[97],"comparable":[98],"to":[99,122],"large-scale":[101],"pretrained":[102],"pi0":[103],"baseline":[104],"limited":[107],"pretraining":[108],"data.":[109],"will":[111,135],"release":[112],"full":[114],"designs,":[116],"drivers,":[117],"models,":[118],"training/data":[120],"pipelines":[121],"support":[123],"research":[125],"scalable":[127],"data":[128],"collection.":[129],"Our":[130],"codes,":[131],"layouts,":[132],"models":[134],"be":[136],"released":[137],"after":[138],"paper":[140],"accepted.":[142]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-04T00:00:00"}