{"id":"https://openalex.org/W7160326296","doi":"https://doi.org/10.48550/arxiv.2605.01477","title":"Action Agent: Agentic Video Generation Meets Flow-Constrained Diffusion","display_name":"Action Agent: Agentic Video Generation Meets Flow-Constrained Diffusion","publication_year":2026,"publication_date":"2026-05-02","ids":{"openalex":"https://openalex.org/W7160326296","doi":"https://doi.org/10.48550/arxiv.2605.01477"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.01477","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01477","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":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.2605.01477","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135284523","display_name":"Jeffrin Sam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam, Jeffrin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135283561","display_name":"Nguyen Khang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khang, Nguyen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135310194","display_name":"Yara Mahmoud","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahmoud, Yara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135354186","display_name":"Miguel Altamirano Cabrera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cabrera, Miguel Altamirano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135393052","display_name":"Dzmitry Tsetserukou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsetserukou, Dzmitry","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":0.7247999906539917,"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":0.7247999906539917,"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":0.09040000289678574,"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/T12290","display_name":"Human Motion and Animation","score":0.056699998676776886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.5055000185966492},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.45890000462532043},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.41589999198913574},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4142000079154968},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.39590001106262207},{"id":"https://openalex.org/keywords/control-flow","display_name":"Control flow","score":0.38830000162124634},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3677000105381012},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3662000000476837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774399995803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5223000049591064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5066999793052673},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.5055000185966492},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.45890000462532043},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.41589999198913574},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4142000079154968},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C160191386","wikidata":"https://www.wikidata.org/wiki/Q868299","display_name":"Control flow","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37049999833106995},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3677000105381012},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3662000000476837},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3424000144004822},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33640000224113464},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C26990112","wikidata":"https://www.wikidata.org/wiki/Q6887224","display_name":"Mobile robot navigation","level":5,"score":0.3034000098705292},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.01477","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01477","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":"doi:10.48550/arxiv.2605.01477","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01477","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":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"We":[0,118,173],"present":[1],"Action":[2,175],"Agent,":[3],"a":[4,24,80,157,180,186,189,203],"two-stage":[5],"framework":[6],"that":[7,34,84,196],"unifies":[8],"agentic":[9],"navigation":[10,53,72,124,148],"video":[11,36,62],"generation":[12,63],"with":[13],"flow-constrained":[14],"diffusion":[15,37],"control":[16],"for":[17,108,115,208],"multi-embodiment":[18],"robot":[19,192],"navigation.":[20,210],"In":[21,74],"Stage":[22,75],"I,":[23],"large":[25],"language":[26,56,90,113],"model":[27],"(LLM)":[28],"acts":[29],"as":[30],"an":[31],"orchestration":[32],"module":[33],"selects":[35],"models,":[38],"refines":[39],"prompts":[40],"through":[41],"iterative":[42],"validation,":[43],"and":[44,57,89,111,126,152,188,205],"accumulates":[45],"cross-task":[46],"memory":[47],"to":[48,68,138],"synthesize":[49],"physically":[50],"plausible":[51],"first-person":[52],"videos":[54,88],"from":[55,65,200],"image":[58],"inputs.":[59],"This":[60],"increases":[61],"success":[64,149],"35%":[66],"(single-shot)":[67],"86%":[69],"across":[70,177],"50":[71],"tasks.":[73],"II,":[76],"we":[77],"introduce":[78],"FlowDiT,":[79],"Flow-Constrained":[81],"Diffusion":[82],"Transformer":[83],"converts":[85],"optimized":[86],"goal":[87],"instructions":[91],"into":[92],"continuous":[93],"velocity":[94,140],"commands":[95],"using":[96],"action-space":[97],"denoising":[98],"diffusion.":[99],"FlowDiT":[100],"integrates":[101],"DINOv2":[102],"visual":[103],"features,":[104],"learned":[105],"optical":[106],"flow":[107],"ego-motion":[109],"representation,":[110],"CLIP":[112],"embeddings":[114],"semantic":[116],"stopping.":[117],"pretrain":[119],"on":[120,128,156],"the":[121],"RECON":[122],"outdoor":[123],"dataset":[125],"fine-tune":[127],"203":[129],"Unitree":[130,159,181],"G1":[131,160,182],"humanoid":[132,183],"episodes":[133],"collected":[134],"in":[135,150,161],"Isaac":[136],"Sim":[137],"calibrate":[139],"dynamics.":[141],"A":[142],"single":[143],"43M-parameter":[144],"checkpoint":[145],"achieves":[146],"73.2%":[147],"simulation":[151],"64.7%":[153],"task":[154],"completion":[155],"real":[158],"unseen":[162],"indoor":[163],"environments":[164],"under":[165],"open-loop":[166],"execution,":[167],"while":[168],"operating":[169],"at":[170],"40--47":[171],"Hz.":[172],"evaluate":[174],"Agent":[176],"three":[178],"embodiments:":[179],"(real":[184],"hardware),":[185],"drone,":[187],"wheeled":[190],"mobile":[191],"(Isaac":[193],"Sim),":[194],"demonstrating":[195],"decoupling":[197],"trajectory":[198],"imagination":[199],"execution":[201],"yields":[202],"scalable":[204],"embodiment-aware":[206],"paradigm":[207],"language-guided":[209]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-06T00:00:00"}
