{"id":"https://openalex.org/W3090597636","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206675","title":"Visualization of topographical internal representation of learning robots","display_name":"Visualization of topographical internal representation of learning robots","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090597636","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206675","mag":"3090597636"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5003846813","display_name":"Shiori Kuramoto","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shiori Kuramoto","raw_affiliation_strings":["Dept. of Applied Physics, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Applied Physics, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053125115","display_name":"Hideyuki Sawada","orcid":"https://orcid.org/0000-0002-3014-6970"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideyuki Sawada","raw_affiliation_strings":["Dept. of Applied Physics, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Applied Physics, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072759330","display_name":"Pitoyo Hartono","orcid":"https://orcid.org/0000-0002-2807-6002"},"institutions":[{"id":"https://openalex.org/I98940699","display_name":"Chukyo University","ror":"https://ror.org/04ajrmg05","country_code":"JP","type":"education","lineage":["https://openalex.org/I98940699"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Pitoyo Hartono","raw_affiliation_strings":["School of Engineering, Chukyo University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Chukyo University, Nagoya, Japan","institution_ids":["https://openalex.org/I98940699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003846813"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.6628,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76181789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976000189781189,"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/T10320","display_name":"Neural Networks and Applications","score":0.9976000189781189,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9923999905586243,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7911701202392578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064622640609741},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6226691007614136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5990002751350403},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5974727869033813},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5896759629249573},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5458971261978149},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.48874354362487793},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.46594157814979553}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7911701202392578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064622640609741},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6226691007614136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5990002751350403},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5974727869033813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5896759629249573},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5458971261978149},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48874354362487793},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.46594157814979553},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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":26,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1498436455","https://openalex.org/W1506603122","https://openalex.org/W2009240858","https://openalex.org/W2063046703","https://openalex.org/W2076745239","https://openalex.org/W2079810998","https://openalex.org/W2082490980","https://openalex.org/W2095705004","https://openalex.org/W2100495367","https://openalex.org/W2118022153","https://openalex.org/W2121863487","https://openalex.org/W2157444450","https://openalex.org/W2187089797","https://openalex.org/W2294798173","https://openalex.org/W2318937711","https://openalex.org/W2580440077","https://openalex.org/W2753415590","https://openalex.org/W2891503716","https://openalex.org/W2902900716","https://openalex.org/W2953012738","https://openalex.org/W3124792046","https://openalex.org/W4214717370","https://openalex.org/W4388252436","https://openalex.org/W6683161245","https://openalex.org/W6743846187"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2068608913","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083"],"abstract_inverted_index":{"The":[0,127],"objective":[1],"of":[2,10,26,102,145,151,164,172],"this":[3,106,156],"study":[4],"is":[5,60,94],"to":[6,16,41,63,98,136,139],"understand":[7,64,99,141],"the":[8,23,27,31,69,79,100,103,142,146,149,161,165,169],"learned-strategy":[9],"neural":[11,28,35,113,166],"network-controlled":[12,36],"robots":[13,37,123,147],"in":[14,43,87,124,148],"relation":[15],"their":[17,65,71,74,152],"physical":[18,44,125,174],"learning":[19,153,162],"environments":[20,45,72],"by":[21],"visualizing":[22],"internal":[24,119],"layer":[25],"network.":[29],"During":[30],"past":[32],"few":[33],"years,":[34],"that":[38,82],"are":[39,46,76],"able":[40],"learn":[42],"becoming":[47,61],"more":[48],"common.":[49],"While":[50],"they":[51],"can":[52,130],"autonomously":[53],"acquire":[54],"strategy":[55,144],"without":[56],"human":[57,84,97],"supervisions,":[58],"it":[59,93],"difficult":[62],"strategy,":[66],"especially":[67],"when":[68],"robots,":[70,92],"and":[73,134,168],"tasks":[75],"complicated.":[77],"In":[78,105,155],"critical":[80],"fields":[81],"involve":[83],"safety,":[85],"as":[86],"self-driving":[88],"vehicles":[89],"or":[90],"medical":[91],"important":[95],"for":[96,121],"strategies":[101],"robots.":[104],"preliminary":[107],"study,":[108],"we":[109,158],"propose":[110],"a":[111,116],"hierarchical":[112],"network":[114,167],"with":[115],"two-dimensional":[117],"topographical":[118],"representation":[120,129],"training":[122],"environments.":[126,154],"2D":[128],"then":[131],"be":[132],"visualized":[133],"analyzed":[135],"allow":[137],"us":[138],"intuitively":[140],"input-output":[143],"context":[150],"paper,":[157],"explain":[159],"about":[160],"dynamics":[163],"visual":[170],"analysis":[171],"some":[173],"experiments.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
