{"id":"https://openalex.org/W2283492841","doi":"https://doi.org/10.1109/iecon.2015.7392502","title":"Multi-objective evolutionary algorithm for neural oscillator based robot locomotion","display_name":"Multi-objective evolutionary algorithm for neural oscillator based robot locomotion","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2283492841","doi":"https://doi.org/10.1109/iecon.2015.7392502","mag":"2283492841"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2015.7392502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2015.7392502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","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/A5005008013","display_name":"Azhar Aulia Saputra","orcid":"https://orcid.org/0000-0001-9027-8935"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Azhar Aulia Saputra","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680390","display_name":"Takahiro Takeda","orcid":"https://orcid.org/0000-0002-9095-3387"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Takeda","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046625768","display_name":"J\u00e1nos Botzheim","orcid":"https://orcid.org/0000-0002-7838-6148"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Janos Botzheim","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074076109","display_name":"Naoyuki Kubota","orcid":"https://orcid.org/0000-0001-8829-037X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoyuki Kubota","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":4.7935,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95585676,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"35","issue":null,"first_page":"002655","last_page":"002660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10879","display_name":"Robotic Locomotion and Control","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10879","display_name":"Robotic Locomotion and Control","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11170","display_name":"Biomimetic flight and propulsion mechanisms","score":0.9955000281333923,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/signal","display_name":"SIGNAL (programming language)","score":0.6253179311752319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.618873119354248},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.5955042839050293},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.584587574005127},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5195163488388062},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4209921956062317},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.36570262908935547},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.332610547542572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32355356216430664},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.22153356671333313},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12952470779418945}],"concepts":[{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6253179311752319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.618873119354248},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.5955042839050293},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.584587574005127},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5195163488388062},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4209921956062317},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.36570262908935547},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.332610547542572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32355356216430664},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.22153356671333313},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12952470779418945},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2015.7392502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2015.7392502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W146695423","https://openalex.org/W1550910791","https://openalex.org/W1742093738","https://openalex.org/W1999980280","https://openalex.org/W2029517350","https://openalex.org/W2033226680","https://openalex.org/W2050426505","https://openalex.org/W2052186030","https://openalex.org/W2057952125","https://openalex.org/W2060577328","https://openalex.org/W2111178261","https://openalex.org/W2126105956","https://openalex.org/W2156174987","https://openalex.org/W2185472371","https://openalex.org/W2539306438","https://openalex.org/W3099557567"],"related_works":["https://openalex.org/W8302103","https://openalex.org/W3171631314","https://openalex.org/W2606825221","https://openalex.org/W2391251536","https://openalex.org/W2064245428","https://openalex.org/W2674584172","https://openalex.org/W1990892711","https://openalex.org/W2184085865","https://openalex.org/W2124621291","https://openalex.org/W2465918047"],"abstract_inverted_index":{"In":[0,213],"this":[1],"paper":[2],"we":[3,185],"present":[4],"synaptic":[5,100,107,183],"weight":[6],"optimization":[7],"for":[8,29],"dynamic":[9],"locomotion":[10],"in":[11,41,127,181,209],"four-legged":[12],"robot":[13,37,57],"(cat,":[14],"dog)":[15],"based":[16,231],"on":[17,233],"neural":[18],"oscillator.":[19],"We":[20],"investigate":[21],"the":[22,27,64,68,72,79,83,94,99,103,106,128,143,146,148,152,155,177,182,187,199,202,206,210,214,220,234,238,245],"muscular":[23],"structure":[24],"to":[25,82,93,116,154,163,172,243],"design":[26],"relationship":[28],"both":[30],"extensor":[31,52,173],"neuron":[32,66,150,165],"and":[33,44,53,67,111,122,138,166,201],"flexor":[34,54,164],"neuron.":[35,55,157,174],"The":[36,56,75,86,130,194,227],"has":[38,58],"3":[39],"joints":[40],"each":[42,45],"leg":[43],"joint":[46,156],"is":[47,132,225,229],"represented":[48],"by":[49,134],"2":[50],"neurons,":[51,104],"4":[59],"main":[60],"circular":[61],"neurons":[62,70,77,110,184],"as":[63],"server":[65,76],"other":[69],"are":[71,205],"client":[73,84],"neurons.":[74,85],"generate":[78],"oscillator":[80],"signal":[81,87,131,153,159,168],"can":[88],"be":[89,161,170],"dynamically":[90],"adjusted":[91],"according":[92],"environmental":[95],"condition.":[96],"Not":[97],"only":[98],"network":[101,108],"between":[102,109],"but":[105],"sensors":[112],"was":[113],"also":[114],"designed":[115],"realize":[117],"dynamical":[118],"locomotion.":[119],"Pressure":[120],"sensor":[121,124,137],"inclination":[123,140],"were":[125,241],"installed":[126],"robot.":[129,239],"influenced":[133],"ground":[135],"reaction":[136],"body":[139],"feedback.":[141],"While":[142],"foot":[144],"touches":[145],"ground,":[147],"sensory":[149],"sends":[151],"Negative":[158],"will":[160,169],"sent":[162,171],"positive":[167],"To":[175],"optimize":[176],"strength":[178],"of":[179,196,237],"weights":[180],"apply":[186],"Nondominated":[188],"Sorting":[189],"Genetic":[190],"Algorithm":[191],"II":[192],"(NSGA-II).":[193],"stability":[195],"torso":[197],"body,":[198],"velocity,":[200],"movement":[203],"direction":[204],"three":[207],"objectives":[208],"multi-objective":[211],"NSGA-II.":[212],"experiments,":[215],"a":[216],"computer":[217],"simulation":[218],"framework,":[219],"Open":[221],"Dynamic":[222],"Engine":[223],"(ODE)":[224],"applied.":[226],"solution":[228],"evaluated":[230],"mainly":[232],"moving":[235],"distance":[236],"Experiments":[240],"conducted":[242],"confirm":[244],"proposed":[246],"technique.":[247]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
