{"id":"https://openalex.org/W2775508537","doi":"https://doi.org/10.1109/iecon.2017.8216902","title":"Model predictive control based deep neural network for dynamic manipulation","display_name":"Model predictive control based deep neural network for dynamic manipulation","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2775508537","doi":"https://doi.org/10.1109/iecon.2017.8216902","mag":"2775508537"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2017.8216902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2017.8216902","pdf_url":null,"source":{"id":"https://openalex.org/S4363608531","display_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","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":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","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/A5046257708","display_name":"Daichi Furuta","orcid":"https://orcid.org/0000-0003-0912-3077"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daichi Furuta","raw_affiliation_strings":["Graduate School of Science and Engineering, Saitama University, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058240917","display_name":"Kyo Kutsuzawa","orcid":"https://orcid.org/0000-0002-5326-7847"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kyo Kutsuzawa","raw_affiliation_strings":["Graduate School of Science and Engineering, Saitama University, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031118117","display_name":"Tetsugaku Okamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsugaku Okamoto","raw_affiliation_strings":["Graduate School of Science and Engineering, Saitama University, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065050034","display_name":"Sho Sakaino","orcid":"https://orcid.org/0000-0002-5182-5649"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sho Sakaino","raw_affiliation_strings":["Graduate School of Science and Engineering, Saitama University, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017159721","display_name":"Toshiaki Tsuji","orcid":"https://orcid.org/0000-0002-4532-4514"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiaki Tsuji","raw_affiliation_strings":["Saitama Daigaku, Saitama, JP"],"affiliations":[{"raw_affiliation_string":"Saitama Daigaku, Saitama, JP","institution_ids":["https://openalex.org/I72253084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046257708"],"corresponding_institution_ids":["https://openalex.org/I72253084"],"apc_list":null,"apc_paid":null,"fwci":0.5411,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59510204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5215","last_page":"5220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9994000196456909,"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":0.9994000196456909,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9970999956130981,"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9954000115394592,"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/trajectory","display_name":"Trajectory","score":0.768134355545044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7678743600845337},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.757995069026947},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6383503675460815},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5972475409507751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5359312891960144},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.49679091572761536},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4742564260959625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33994656801223755},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.33470430970191956},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3244544267654419},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17012783885002136}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.768134355545044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678743600845337},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.757995069026947},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6383503675460815},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5972475409507751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5359312891960144},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.49679091572761536},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4742564260959625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33994656801223755},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33470430970191956},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3244544267654419},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17012783885002136},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2017.8216902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2017.8216902","pdf_url":null,"source":{"id":"https://openalex.org/S4363608531","display_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","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":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","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":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1603657390","https://openalex.org/W1923344279","https://openalex.org/W1993170675","https://openalex.org/W2046876987","https://openalex.org/W2105758011","https://openalex.org/W2116773335","https://openalex.org/W2146842207","https://openalex.org/W2156387975","https://openalex.org/W2161908751","https://openalex.org/W2292964075","https://openalex.org/W2293480950","https://openalex.org/W2919115771","https://openalex.org/W2964121744","https://openalex.org/W4246394278"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W2080951048","https://openalex.org/W4288804799","https://openalex.org/W3032237421","https://openalex.org/W2390346111","https://openalex.org/W3011883280","https://openalex.org/W2903025760","https://openalex.org/W4289147272"],"abstract_inverted_index":{"This":[0,52],"paper":[1,53],"proposes":[2],"a":[3,64,67,77],"trajectory":[4,45],"planning":[5,46],"method":[6,22,41,60],"with":[7,48,80],"neural":[8,37],"networks":[9],"that":[10,24],"learn":[11],"model":[12,28],"predictive":[13],"control":[14],"for":[15],"dynamic":[16,44],"manipulation.":[17],"The":[18,39],"novelty":[19],"of":[20,35,57,63,85],"this":[21],"is":[23],"target":[25],"positions":[26],"and":[27],"parameters":[29],"are":[30],"added":[31],"to":[32,82],"the":[33,36,43,55,58,83],"input":[34],"network.":[38],"proposed":[40,59],"solves":[42],"issues":[47],"low":[49],"calculation":[50],"cost.":[51],"shows":[54],"effectiveness":[56],"through":[61],"demonstrations":[62],"robot":[65],"turning":[66],"pancake":[68],"over":[69],"under":[70],"various":[71],"parameters.":[72],"In":[73],"addition,":[74],"we":[75],"verify":[76],"performance":[78],"change":[79],"respect":[81],"number":[84],"training":[86],"data.":[87]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}