{"id":"https://openalex.org/W4416711132","doi":"https://doi.org/10.48550/arxiv.2509.02322","title":"OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds","display_name":"OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds","publication_year":2025,"publication_date":"2025-09-02","ids":{"openalex":"https://openalex.org/W4416711132","doi":"https://doi.org/10.48550/arxiv.2509.02322"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.02322","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.02322","pdf_url":"https://arxiv.org/pdf/2509.02322","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.02322","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100421251","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-5260-5157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Longrong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120667222","display_name":"Zhixiong Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Zhixiong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035189764","display_name":"Yufeng Zhong","orcid":"https://orcid.org/0000-0003-2253-1497"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Yufeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023965104","display_name":"Jing Huang","orcid":"https://orcid.org/0000-0001-8704-154X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729358","display_name":"Liming Zheng","orcid":"https://orcid.org/0009-0009-0528-769X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Liming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333511","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8016-4309"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030346569","display_name":"Haibo Qiu","orcid":"https://orcid.org/0000-0001-8589-4717"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiu, Haibo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Qin, Zequn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Zequn","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324191","display_name":"Lin Ma","orcid":"https://orcid.org/0009-0000-5723-0251"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108054267","display_name":"Zhiheng Li","orcid":"https://orcid.org/0000-0002-2977-2624"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xi","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.6887000203132629,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.6887000203132629,"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"}},{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.03909999877214432,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.03139999881386757,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.9517999887466431},{"id":"https://openalex.org/keywords/embodied-agent","display_name":"Embodied agent","score":0.8046000003814697},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6784999966621399},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.46540001034736633},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.42739999294281006},{"id":"https://openalex.org/keywords/cognitive-robotics","display_name":"Cognitive robotics","score":0.38830000162124634},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.35679998993873596}],"concepts":[{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.9517999887466431},{"id":"https://openalex.org/C103683099","wikidata":"https://www.wikidata.org/wiki/Q5370102","display_name":"Embodied agent","level":3,"score":0.8046000003814697},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6784999966621399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743999719619751},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6287000179290771},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.46540001034736633},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C192327766","wikidata":"https://www.wikidata.org/wiki/Q1038799","display_name":"Cognitive robotics","level":3,"score":0.38830000162124634},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3522999882698059},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3407000005245209},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3089999854564667},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C5894958","wikidata":"https://www.wikidata.org/wiki/Q2297769","display_name":"Software agent","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.2624000012874603}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2509.02322","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.02322","pdf_url":"https://arxiv.org/pdf/2509.02322","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.02322","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.02322","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.02322","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.02322","pdf_url":"https://arxiv.org/pdf/2509.02322","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"large":[1],"language":[2],"models":[3],"are":[4],"evolving":[5],"toward":[6],"multimodal":[7],"agents":[8,26,43,154],"capable":[9],"of":[10,51,173],"proactively":[11],"executing":[12],"tasks.":[13,166,200],"Most":[14],"agent":[15,108],"research":[16],"focuses":[17],"on":[18],"GUI":[19,56,76,127,158,163,174,181,199],"or":[20,32,159,164],"embodied":[21,58,78,129,160,165,176,183],"scenarios,":[22,196],"which":[23,91],"correspond":[24],"to":[25,44,60,122],"interacting":[27],"with":[28,47],"2D":[29],"virtual":[30],"worlds":[31],"3D":[33],"real":[34],"worlds,":[35],"respectively.":[36],"However,":[37],"many":[38],"complex":[39],"tasks":[40],"typically":[41],"require":[42],"interleavely":[45],"interact":[46],"these":[48],"two":[49],"types":[50],"environment.":[52],"We":[53],"initially":[54],"mix":[55],"and":[57,77,82,87,114,128,148,175,178,182],"data":[59,70,79,115,130,161,184],"train,":[61],"but":[62],"find":[63],"the":[64,69,85,93,97,124,146,150,170],"performance":[65],"degeneration":[66],"brought":[67],"by":[68,131,139,157],"conflict.":[71],"Further":[72],"analysis":[73],"reveals":[74],"that":[75],"exhibit":[80],"synergy":[81,138,147],"conflict":[83,125],"at":[84],"shallow":[86],"deep":[88],"layers,":[89],"respectively,":[90],"resembles":[92],"cerebrum-cerebellum":[94],"mechanism":[95],"in":[96,162,198],"human":[98],"brain.":[99],"To":[100],"this":[101],"end,":[102],"we":[103,118,168],"propose":[104,119],"a":[105],"high-performance":[106],"generalist":[107],"OmniActor,":[109],"designed":[110],"from":[111,185],"both":[112],"structural":[113],"perspectives.":[116],"First,":[117],"Layer-heterogeneity":[120],"MoE":[121],"eliminate":[123],"between":[126],"separating":[132],"deep-layer":[133],"parameters,":[134],"while":[135],"leverage":[136],"their":[137],"sharing":[140],"shallow-layer":[141],"parameters.":[142],"By":[143],"successfully":[144],"leveraging":[145],"eliminating":[149],"conflict,":[151],"OmniActor":[152,193],"outperforms":[153],"only":[155],"trained":[156],"Furthermore,":[167],"unify":[169],"action":[171],"spaces":[172],"tasks,":[177],"collect":[179],"large-scale":[180],"various":[186],"sources":[187],"for":[188],"training.":[189],"This":[190],"significantly":[191],"improves":[192],"under":[194],"different":[195],"especially":[197],"The":[201],"code":[202],"will":[203],"be":[204],"publicly":[205],"available.":[206]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}