{"id":"https://openalex.org/W4416223256","doi":"https://doi.org/10.48550/arxiv.2511.08942","title":"Think, Remember, Navigate: Zero-Shot Object-Goal Navigation with VLM-Powered Reasoning","display_name":"Think, Remember, Navigate: Zero-Shot Object-Goal Navigation with VLM-Powered Reasoning","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416223256","doi":"https://doi.org/10.48550/arxiv.2511.08942"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2511.08942","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.08942","pdf_url":"https://arxiv.org/pdf/2511.08942","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/2511.08942","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120354141","display_name":"Mobin Habibpour","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Habibpour, Mobin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5035395012","display_name":"Fatemeh Afghah","orcid":"https://orcid.org/0000-0002-2315-1173"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Afghah, Fatemeh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":0.8550999760627747,"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":0.8550999760627747,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.03200000151991844,"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":0.0203000009059906,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.625},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6133999824523926},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5490000247955322},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5030999779701233},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4738999903202057},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.47209998965263367},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.4505000114440918},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.44830000400543213},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4311999976634979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178000211715698},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.625},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6133999824523926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5788999795913696},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5030999779701233},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48579999804496765},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4738999903202057},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.47209998965263367},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.4505000114440918},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.44830000400543213},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4311999976634979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41990000009536743},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C26990112","wikidata":"https://www.wikidata.org/wiki/Q6887224","display_name":"Mobile robot navigation","level":5,"score":0.33730000257492065},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C2778761605","wikidata":"https://www.wikidata.org/wiki/Q3565782","display_name":"Navigational aid","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C2777891301","wikidata":"https://www.wikidata.org/wiki/Q3475123","display_name":"Navigation system","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.27950000762939453},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2511.08942","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.08942","pdf_url":"https://arxiv.org/pdf/2511.08942","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2511.08942","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.08942","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.08942","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.08942","pdf_url":"https://arxiv.org/pdf/2511.08942","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416223256.pdf","grobid_xml":"https://content.openalex.org/works/W4416223256.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"Vision-Language":[1],"Models":[2],"(VLMs)":[3],"are":[4],"set":[5],"to":[6,33,45,53,85,99],"transform":[7],"robotic":[8],"navigation,":[9],"existing":[10,137],"methods":[11],"often":[12],"underutilize":[13],"their":[14,28],"reasoning":[15],"capabilities.":[16],"To":[17],"unlock":[18],"the":[19,37,80,97],"full":[20],"potential":[21],"of":[22,67,79],"VLMs":[23],"in":[24,36,89,133],"robotics,":[25],"we":[26],"shift":[27],"role":[29],"from":[30],"passive":[31],"observers":[32],"active":[34],"strategists":[35],"navigation":[38,134],"process.":[39],"Our":[40],"framework":[41],"outsources":[42],"high-level":[43],"planning":[44],"a":[46,55,65,92,130,141],"VLM,":[47],"which":[48],"leverages":[49],"its":[50],"contextual":[51],"understanding":[52],"guide":[54],"frontier-based":[56],"exploration":[57],"agent.":[58],"This":[59],"intelligent":[60],"guidance":[61],"is":[62],"achieved":[63],"through":[64],"trio":[66],"techniques:":[68],"structured":[69],"chain-of-thought":[70],"prompting":[71],"that":[72,95],"elicits":[73],"logical,":[74],"step-by-step":[75],"reasoning;":[76],"dynamic":[77],"inclusion":[78],"agent's":[81],"recent":[82],"action":[83],"history":[84],"prevent":[86],"getting":[87],"stuck":[88],"loops;":[90],"and":[91,119,126,139],"novel":[93],"capability":[94],"enables":[96],"VLM":[98],"interpret":[100],"top-down":[101],"obstacle":[102],"maps":[103],"alongside":[104],"first-person":[105],"views,":[106],"thereby":[107],"enhancing":[108],"spatial":[109],"awareness.":[110],"When":[111],"tested":[112],"on":[113],"challenging":[114],"benchmarks":[115],"like":[116],"HM3D,":[117],"Gibson,":[118],"MP3D,":[120],"this":[121],"method":[122],"produces":[123],"exceptionally":[124],"direct":[125],"logical":[127],"trajectories,":[128],"marking":[129],"substantial":[131],"improvement":[132],"efficiency":[135],"over":[136],"approaches":[138],"charting":[140],"path":[142],"toward":[143],"more":[144],"capable":[145],"embodied":[146],"agents.":[147]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-14T00:00:00"}
