{"id":"https://openalex.org/W4413944788","doi":"https://doi.org/10.1109/icra55743.2025.11127706","title":"ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation","display_name":"ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413944788","doi":"https://doi.org/10.1109/icra55743.2025.11127706"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11127706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073332367","display_name":"Abrar Anwar","orcid":"https://orcid.org/0000-0003-4442-4369"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Abrar Anwar","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009760367","display_name":"John Welsh","orcid":"https://orcid.org/0000-0001-9243-5228"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Welsh","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004302220","display_name":"Joydeep Biswas","orcid":"https://orcid.org/0000-0002-1211-1731"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joydeep Biswas","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110044549","display_name":"Soha Pouya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soha Pouya","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036079259","display_name":"Yan Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Chang","raw_affiliation_strings":["NVIDIA"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073332367"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.977,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98945389,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2838","last_page":"2845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9948999881744385,"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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9948999881744385,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9868000149726868,"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/computer-science","display_name":"Computer science","score":0.6536683440208435},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5830332040786743},{"id":"https://openalex.org/keywords/horizon","display_name":"Horizon","score":0.5329728126525879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5095348954200745},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3428286910057068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09058308601379395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6536683440208435},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5830332040786743},{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.5329728126525879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5095348954200745},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3428286910057068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09058308601379395},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11127706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2930283066","https://openalex.org/W2950697717","https://openalex.org/W2962789679","https://openalex.org/W2963693848","https://openalex.org/W2963800628","https://openalex.org/W3035154952","https://openalex.org/W3205786327","https://openalex.org/W4312707839","https://openalex.org/W4312810944","https://openalex.org/W4383097638","https://openalex.org/W4383108457","https://openalex.org/W4383108895","https://openalex.org/W4385430678","https://openalex.org/W4386075653","https://openalex.org/W4386083015","https://openalex.org/W4387835442","https://openalex.org/W4391407102","https://openalex.org/W4393154152","https://openalex.org/W4396910000","https://openalex.org/W4401415888","https://openalex.org/W4402353987","https://openalex.org/W4402727885","https://openalex.org/W4402776116"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Navigating":[0],"and":[1,92,109,118,134,154,167],"understanding":[2],"complex":[3],"environments":[4],"over":[5,47],"extended":[6],"periods":[7],"of":[8,51],"time":[9],"is":[10],"a":[11,48,60,68,102,106,110,152],"significant":[12],"challenge":[13],"for":[14,63,71,76],"robots.":[15],"People":[16],"interacting":[17],"with":[18,144],"the":[19,43,84,174],"robot":[20,44,77,97,125,153],"may":[21],"want":[22],"to":[23,45,95,120,139],"ask":[24],"questions":[25,94],"like":[26],"where":[27,87],"something":[28],"happened,":[29],"when":[30],"it":[31,37],"occurred,":[32],"or":[33,66],"how":[34],"long":[35,49],"ago":[36],"took":[38],"place,":[39],"which":[40],"would":[41],"require":[42],"reason":[46],"history":[50],"their":[52],"deployment.":[53],"To":[54,79],"address":[55],"this":[56],"problem,":[57],"we":[58,82,88,148],"introduce":[59,83],"Retrieval-augmented":[61],"Memory":[62],"Embodied":[64],"Robots,":[65],"ReMEmbR,":[67,81],"system":[69],"designed":[70],"long-horizon":[72,96,142],"video":[73],"question":[74],"answering":[75],"navigation.":[78],"evaluate":[80],"NaVQA":[85],"dataset":[86],"annotate":[89],"spatial,":[90],"temporal,":[91],"descriptive":[93],"navigation":[98],"videos.":[99],"ReMEmbR":[100,131,138,150],"employs":[101],"structured":[103],"approach":[104,158],"involving":[105],"memory":[107],"building":[108],"querying":[111],"phase,":[112],"leveraging":[113],"temporal":[114],"information,":[115,117],"spatial":[116],"images":[119],"efficiently":[121],"handle":[122,160],"continuously":[123],"growing":[124],"histories.":[126],"Our":[127],"experiments":[128],"demonstrate":[129],"that":[130,156],"outperforms":[132],"LLM":[133],"VLM":[135],"baselines,":[136],"allowing":[137],"achieve":[140],"effective":[141],"reasoning":[143],"low":[145],"latency.":[146],"Additionally,":[147],"deploy":[149],"on":[151],"show":[155],"our":[157],"can":[159,170],"diverse":[161],"queries.":[162],"The":[163],"dataset,":[164],"code,":[165],"videos,":[166],"other":[168],"material":[169],"be":[171],"found":[172],"at":[173],"following":[175],"link:":[176],"https://nvidia-ai-iot.github.io/remembr.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}