{"id":"https://openalex.org/W3012546922","doi":"https://doi.org/10.1109/sii46433.2020.9026205","title":"Visualization of Focal Cues for Visuomotor Coordination by Gradient-based Methods: A Recurrent Neural Network Shifts The Attention Depending on Task Requirements","display_name":"Visualization of Focal Cues for Visuomotor Coordination by Gradient-based Methods: A Recurrent Neural Network Shifts The Attention Depending on Task Requirements","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3012546922","doi":"https://doi.org/10.1109/sii46433.2020.9026205","mag":"3012546922"},"language":"en","primary_location":{"id":"doi:10.1109/sii46433.2020.9026205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii46433.2020.9026205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/SICE International Symposium on System Integration (SII)","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/A5019301308","display_name":"Hiroshi Ito","orcid":"https://orcid.org/0000-0001-8044-9825"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroshi Ito","raw_affiliation_strings":["Center for Technology Innovation - Mechanical Engineering, Research & Development Group, Hitachi, Ltd., Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Technology Innovation - Mechanical Engineering, Research & Development Group, Hitachi, Ltd., Ibaraki, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091880621","display_name":"Kenjiro Yamamoto","orcid":"https://orcid.org/0000-0003-2754-7148"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenjiro Yamamoto","raw_affiliation_strings":["Center for Technology Innovation - Mechanical Engineering, Research & Development Group, Hitachi, Ltd., Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Technology Innovation - Mechanical Engineering, Research & Development Group, Hitachi, Ltd., Ibaraki, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058025190","display_name":"Hiroki MORI","orcid":"https://orcid.org/0000-0002-9941-8946"},"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":"Hiroki Mori","raw_affiliation_strings":["Department of Intermedia Art and Science School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Intermedia Art and Science School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038189982","display_name":"Shuki Goto","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120159","display_name":"SoftBank Group (Japan)","ror":"https://ror.org/02ew2ks20","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210120159"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuki Goto","raw_affiliation_strings":["Mobile IT Promotion Division, SoftBank Corp., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Mobile IT Promotion Division, SoftBank Corp., Tokyo, Japan","institution_ids":["https://openalex.org/I4210120159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055922202","display_name":"Tetsuya Ogata","orcid":"https://orcid.org/0000-0001-7015-0379"},"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":"Tetsuya Ogata","raw_affiliation_strings":["Department of Intermedia Art and Science School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Intermedia Art and Science School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019301308"],"corresponding_institution_ids":["https://openalex.org/I65143321"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47070982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1 2","issue":null,"first_page":"188","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965000152587891,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965000152587891,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.994700014591217,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.7409979104995728},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7047660946846008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6195081472396851},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6138350963592529},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6120126247406006},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5594014525413513},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.546980619430542},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4963405728340149},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.43227940797805786},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.42125093936920166},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38686299324035645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37823209166526794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34449559450149536},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0783049464225769}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7409979104995728},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7047660946846008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6195081472396851},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6138350963592529},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6120126247406006},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5594014525413513},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.546980619430542},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4963405728340149},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.43227940797805786},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.42125093936920166},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38686299324035645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37823209166526794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34449559450149536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0783049464225769},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii46433.2020.9026205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii46433.2020.9026205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W2064675550","https://openalex.org/W2100495367","https://openalex.org/W2101926813","https://openalex.org/W2123045220","https://openalex.org/W2136655611","https://openalex.org/W2144764737","https://openalex.org/W2496066288","https://openalex.org/W2558355904","https://openalex.org/W2594633041","https://openalex.org/W2737368828","https://openalex.org/W2792643794","https://openalex.org/W2897056651","https://openalex.org/W2962736495","https://openalex.org/W2962851944","https://openalex.org/W2962858109","https://openalex.org/W2963634205","https://openalex.org/W2963811535","https://openalex.org/W4293861706","https://openalex.org/W6630875275","https://openalex.org/W6631190155","https://openalex.org/W6638444622","https://openalex.org/W6675407435","https://openalex.org/W6677995690","https://openalex.org/W6678868399","https://openalex.org/W6679997575","https://openalex.org/W6685133223","https://openalex.org/W6734194636","https://openalex.org/W6739575509","https://openalex.org/W6741796312","https://openalex.org/W6749029207","https://openalex.org/W6757151210"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2967461658"],"abstract_inverted_index":{"For":[0],"an":[1,15],"autonomous":[2],"robot":[3],"to":[4,9,48,72],"flexibly":[5],"move":[6],"in":[7],"response":[8],"various":[10],"tasks":[11,74],"or":[12,103],"environmental":[13],"changes,":[14],"attention":[16,34,63,94],"mechanism":[17],"is":[18,21,35,95],"required":[19],"that":[20,61,69],"based":[22],"on":[23],"the":[24,62,77,93],"robot's":[25],"behavioral":[26],"experience.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"visualize":[32],"how":[33,47],"acquired":[36,66],"inside":[37],"a":[38,50,55],"neural":[39],"network":[40],"learned":[41],"using":[42],"supervised":[43],"learning":[44,76],"and":[45,82],"describe":[46],"acquire":[49],"suitable":[51],"representation":[52],"for":[53,67],"performing":[54],"task.":[56],"Our":[57],"experimental":[58],"evaluation":[59],"shows":[60],"was":[64],"automatically":[65],"objects":[68],"are":[70],"needed":[71],"perform":[73],"by":[75],"time-series":[78],"of":[79],"both":[80],"vision":[81,88],"motor":[83],"information":[84],"rather":[85],"than":[86],"only":[87],"information.":[89],"By":[90],"multimodal":[91],"learning,":[92],"robust":[96],"against":[97],"unlearned":[98],"conditions":[99],"which":[100],"background":[101],"changes":[102],"obstacles.":[104]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}