{"id":"https://openalex.org/W4387871078","doi":"https://doi.org/10.1109/iwis58789.2023.10284598","title":"Recalling Multiple Object Manipulation Candidates by Learning Based on Observation","display_name":"Recalling Multiple Object Manipulation Candidates by Learning Based on Observation","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4387871078","doi":"https://doi.org/10.1109/iwis58789.2023.10284598"},"language":"en","primary_location":{"id":"doi:10.1109/iwis58789.2023.10284598","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwis58789.2023.10284598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Workshop on Intelligent Systems (IWIS)","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/A5077739834","display_name":"Makoto Sanada","orcid":"https://orcid.org/0000-0001-5905-0318"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Sanada","raw_affiliation_strings":["Research Organization, Ritsumeikan University,Ritsumeikan Global Innovation,Kusatsu-shi,Shiga,Japan","Ritsumeikan Global Innovation, Research Organization, Ritsumeikan University, Kusatsu-shi, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Organization, Ritsumeikan University,Ritsumeikan Global Innovation,Kusatsu-shi,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Ritsumeikan Global Innovation, Research Organization, Ritsumeikan University, Kusatsu-shi, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032660436","display_name":"Nobutaka Shimada","orcid":"https://orcid.org/0000-0002-1100-087X"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobutaka Shimada","raw_affiliation_strings":["College of Information Science and Engineering Ritsumeikan University,Kusatsu-shi,Shiga,Japan","College of Information Science and Engineering Ritsumeikan University, Kusatsu-shi, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering Ritsumeikan University,Kusatsu-shi,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering Ritsumeikan University, Kusatsu-shi, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111433832","display_name":"Yoshiaki Shirai","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiaki Shirai","raw_affiliation_strings":["College of Information Science and Engineering Ritsumeikan University,Kusatsu-shi,Shiga,Japan","College of Information Science and Engineering Ritsumeikan University, Kusatsu-shi, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering Ritsumeikan University,Kusatsu-shi,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering Ritsumeikan University, Kusatsu-shi, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1721,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48062757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9934999942779541,"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9854000210762024,"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/computer-science","display_name":"Computer science","score":0.7200649976730347},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5869147777557373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597328543663025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39482560753822327},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35939866304397583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7200649976730347},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5869147777557373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597328543663025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39482560753822327},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35939866304397583}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwis58789.2023.10284598","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwis58789.2023.10284598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Workshop on Intelligent Systems (IWIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2050305425","https://openalex.org/W2131208256","https://openalex.org/W2188365844","https://openalex.org/W2194775991","https://openalex.org/W2824754393","https://openalex.org/W2963410356","https://openalex.org/W2964157221","https://openalex.org/W3004284873","https://openalex.org/W3109597949","https://openalex.org/W3122114204","https://openalex.org/W3127356960","https://openalex.org/W3132029337","https://openalex.org/W4205151370","https://openalex.org/W4283390866","https://openalex.org/W4319451949","https://openalex.org/W4385245566","https://openalex.org/W6687045409","https://openalex.org/W6848930981"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"When":[0],"robot":[1,31],"learns":[2,61],"object":[3,19,56,66,75,91,123,138,215,237],"manipulations":[4],"based":[5,189],"on":[6,140,190],"observation":[7],"of":[8,65,84,117,129,133,150,158,194,233,246],"human's":[9],"daily":[10],"tasks,":[11],"only":[12,121],"one":[13,18],"action":[14,98,104,119],"is":[15,105,110,146,165,181],"available":[16],"for":[17,41,45,212],"in":[20,203],"an":[21,74,97],"observation,":[22],"because":[23],"people":[24],"have":[25],"no":[26],"intention":[27],"to":[28,112,167],"teach":[29],"the":[30,50,62,81,103,114,118,122,130,141,151,155,200,213,224,231,244,247],"but":[32],"just":[33],"use":[34],"it.":[35],"This":[36,59,228],"paper":[37,229],"proposes":[38],"a":[39,69,87,94,172,185],"method":[40,60,188],"predicting":[42],"possible":[43,210],"actions":[44,54,85,134,193,211,241],"any":[46],"objects":[47,196,202],"by":[48,68,86,136,148,154,183,206,220],"learning":[49],"relationship":[51],"between":[52],"observed":[53],"with":[55,73,90],"shape":[57,92,124,139,216],"similarity.":[58],"code":[63,82,115,131,143],"descriptions":[64,83],"shapes":[67],"variational":[70],"auto-encoder":[71],"(VAE)":[72],"image":[76],"as":[77,93,99],"input":[78,100,137,214],"data,":[79],"and":[80,96,170,239,242],"conditional":[88],"VAE":[89],"condition":[95],"data.":[101],"Since":[102],"unknown":[106],"recall":[107],"target,":[108],"it":[109],"desirable":[111],"obtain":[113],"description":[116,132,144],"from":[120,223],"during":[125],"recalling.":[126],"The":[127],"distribution":[128,152,180],"conditioned":[135],"obtained":[142,147],"space":[145],"marginalization":[149,164],"learned":[153],"encoder":[156],"part":[157],"Conditional":[159],"VAE.":[160],"However,":[161],"since":[162],"this":[163,178,204],"difficult":[166],"operate":[168],"analytically":[169],"numerically,":[171],"deep":[173],"regression":[174],"model":[175],"that":[176],"\u201cimitates\u201d":[177],"marginal":[179,226],"trained":[182],"using":[184,235],"maximum":[186],"likelihood":[187],"sampling.":[191],"Common":[192],"similar-shaped":[195],"are":[197],"shared":[198],"among":[199],"similar":[201],"\u201cmarginalization":[205],"imitation\u201d":[207],"process.":[208],"Various":[209],"can":[217],"be":[218],"recalled":[219],"repeatedly":[221],"sampling":[222],"imitated":[225],"distribution.":[227],"describes":[230],"results":[232],"experiment":[234],"actual":[236],"images":[238],"manipulation":[240],"demonstrates":[243],"effectiveness":[245],"proposed":[248],"method.":[249]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
