{"id":"https://openalex.org/W4312953214","doi":"https://doi.org/10.1109/iros47612.2022.9982144","title":"FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics","display_name":"FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4312953214","doi":"https://doi.org/10.1109/iros47612.2022.9982144"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9982144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9982144","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045261159","display_name":"Ludvig Ericson","orcid":"https://orcid.org/0000-0001-8640-1056"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ludvig Ericson","raw_affiliation_strings":["KTH Royal Institute of Technology,Division of Robotics, Perception, and Learning","Division of Robotics, Perception, and Learning, KTH Royal Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Division of Robotics, Perception, and Learning","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Division of Robotics, Perception, and Learning, KTH Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028082686","display_name":"Patric Jensfelt","orcid":"https://orcid.org/0000-0002-1170-7162"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Patric Jensfelt","raw_affiliation_strings":["KTH Royal Institute of Technology,Division of Robotics, Perception, and Learning","Division of Robotics, Perception, and Learning, KTH Royal Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Division of Robotics, Perception, and Learning","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Division of Robotics, Perception, and Learning, KTH Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"12485","last_page":"12491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9958000183105469,"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":0.7394431829452515},{"id":"https://openalex.org/keywords/floor-plan","display_name":"Floor plan","score":0.6753981709480286},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.6228753924369812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5486196279525757},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5434749722480774},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5423995852470398},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5045462846755981},{"id":"https://openalex.org/keywords/floor-plate","display_name":"Floor plate","score":0.4972839653491974},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4969952404499054},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4940035939216614},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4308485686779022},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42593514919281006},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.41635096073150635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35250169038772583},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.33172792196273804},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2522888779640198},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15447363257408142},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.1398884654045105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07058477401733398}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394431829452515},{"id":"https://openalex.org/C61056293","wikidata":"https://www.wikidata.org/wiki/Q18965","display_name":"Floor plan","level":2,"score":0.6753981709480286},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.6228753924369812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5486196279525757},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5434749722480774},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5423995852470398},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5045462846755981},{"id":"https://openalex.org/C78577261","wikidata":"https://www.wikidata.org/wiki/Q3391691","display_name":"Floor plate","level":2,"score":0.4972839653491974},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4969952404499054},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4940035939216614},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4308485686779022},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42593514919281006},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.41635096073150635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35250169038772583},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.33172792196273804},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2522888779640198},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15447363257408142},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.1398884654045105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07058477401733398},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros47612.2022.9982144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9982144","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2006003168","https://openalex.org/W2302255633","https://openalex.org/W2423557781","https://openalex.org/W2559655401","https://openalex.org/W2612690371","https://openalex.org/W2896457183","https://openalex.org/W2968075526","https://openalex.org/W2983765792","https://openalex.org/W2984769683","https://openalex.org/W3010768098","https://openalex.org/W3098650412","https://openalex.org/W3126753585","https://openalex.org/W3130186063","https://openalex.org/W3208546281","https://openalex.org/W4287709159","https://openalex.org/W6631190155","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6755477022","https://openalex.org/W6761551260","https://openalex.org/W6774645763","https://openalex.org/W6774776664","https://openalex.org/W6780226713","https://openalex.org/W6781108587","https://openalex.org/W6788417511","https://openalex.org/W6795140394"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"Floor":[0],"plans":[1,22,113],"are":[2,53],"the":[3,78,92,95,120,129,136],"basis":[4],"of":[5,25,33,59,86,94,105,111,122,135],"reasoning":[6],"in":[7,37,97,127],"and":[8,46,55,61,90,118],"communicating":[9],"about":[10],"indoor":[11],"environments.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"show":[17],"that":[18],"by":[19],"modelling":[20,40],"floor":[21,48,88,101,108,112,124],"as":[23],"sequences":[24,81],"line":[26,51],"segments":[27,52],"seen":[28],"from":[29,83,114],"a":[30,70,84,123],"particular":[31],"point":[32],"view,":[34],"recent":[35],"advances":[36],"autoregressive":[38],"sequence":[39,58],"can":[41],"be":[42],"leveraged":[43],"to":[44,57,68,80],"model":[45,96,126],"predict":[47],"plans.":[49],"The":[50],"canonicalized":[54],"translated":[56],"tokens":[60],"an":[62],"attention-based":[63],"neural":[64],"network":[65,79],"is":[66],"used":[67],"fit":[69,77],"one-step":[71],"distribution":[72],"over":[73],"next":[74],"tokens.":[75],"We":[76],"derived":[82],"set":[85],"large-scale":[87],"plans,":[89,109],"demonstrate":[91],"capabilities":[93],"four":[98],"scenarios:":[99],"novel":[100],"plan":[102,125],"generation,":[103],"completion":[104],"partially":[106],"observed":[107],"generation":[110],"simulated":[115],"sensor":[116],"data,":[117],"finally,":[119],"applicability":[121],"predicting":[128],"shortest":[130],"distance":[131],"with":[132],"partial":[133],"knowledge":[134],"environment.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
