乐胖代购免代理版

{"id":"https://openalex.org/W2967894826","doi":"https://doi.org/10.1109/icra.2019.8793802","title":"Data-efficient Learning of Morphology and Controller for a Microrobot","display_name":"Data-efficient Learning of Morphology and Controller for a Microrobot","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2967894826","doi":"https://doi.org/10.1109/icra.2019.8793802","mag":"2967894826"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793802","pdf_url":null,"source":{"id":"https://openalex.org/S4363607759","display_name":"2022 International Conference on Robotics and Automation (ICRA)","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":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.01334","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104060735","display_name":"Thomas T. Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Liao","raw_affiliation_strings":["University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047171676","display_name":"Grant Wang","orcid":"https://orcid.org/0000-0003-4047-7519"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Grant Wang","raw_affiliation_strings":["University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055299615","display_name":"Brian Yang","orcid":"https://orcid.org/0000-0001-8784-1459"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Yang","raw_affiliation_strings":["University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054946433","display_name":"Rene Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rene Lee","raw_affiliation_strings":["University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085143303","display_name":"Kristofer S. J. Pister","orcid":"https://orcid.org/0000-0002-8108-2102"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kristofer Pister","raw_affiliation_strings":["University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026322200","display_name":"Sergey Levine","orcid":"https://orcid.org/0000-0001-6764-2743"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergey Levine","raw_affiliation_strings":["University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002235575","display_name":"Roberto Calandra","orcid":"https://orcid.org/0000-0001-9430-8433"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roberto Calandra","raw_affiliation_strings":["Facebook AI Research, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":36,"citation_normalized_percentile":{"value":0.9989,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9992,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9992,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10879","display_name":"Robotic Locomotion and Control","score":0.9983,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9969,"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/bayesian-optimization","display_name":"Bayesian Optimization","score":0.8068553}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.8068553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7995053},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6322961},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.62274325},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.49939108},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.43362755},{"id":"https://openalex.org/C34972735","wikidata":"https://www.wikidata.org/wiki/Q2920267","display_name":"Engineering design process","level":2,"score":0.42664886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33954483},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3234256},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793802","pdf_url":null,"source":{"id":"https://openalex.org/S4363607759","display_name":"2022 International Conference on Robotics and Automation (ICRA)","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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1905.01334","pdf_url":"https://arxiv.org/pdf/1905.01334","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1905.01334","pdf_url":"https://arxiv.org/pdf/1905.01334","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":46,"referenced_works":["https://openalex.org/W1483202606","https://openalex.org/W1502922572","https://openalex.org/W1609223620","https://openalex.org/W1738827650","https://openalex.org/W1784796383","https://openalex.org/W1999272004","https://openalex.org/W2001685400","https://openalex.org/W2046127725","https://openalex.org/W2061144551","https://openalex.org/W2079218888","https://openalex.org/W2098998403","https://openalex.org/W2099824239","https://openalex.org/W2102194164","https://openalex.org/W2109457885","https://openalex.org/W2110029398","https://openalex.org/W2116801943","https://openalex.org/W2117085697","https://openalex.org/W2138087610","https://openalex.org/W2140190473","https://openalex.org/W2149841830","https://openalex.org/W2151238122","https://openalex.org/W2156174987","https://openalex.org/W2159322112","https://openalex.org/W2192203593","https://openalex.org/W2313079699","https://openalex.org/W2336687883","https://openalex.org/W2341057945","https://openalex.org/W2345927288","https://openalex.org/W2528277674","https://openalex.org/W2616619952","https://openalex.org/W2735468692","https://openalex.org/W2736021157","https://openalex.org/W2744752492","https://openalex.org/W2753070114","https://openalex.org/W2793732783","https://openalex.org/W2911471144","https://openalex.org/W2963082139","https://openalex.org/W2963534270","https://openalex.org/W2963960193","https://openalex.org/W3101264727","https://openalex.org/W3165243398","https://openalex.org/W4240473981","https://openalex.org/W4251990921","https://openalex.org/W4298206671","https://openalex.org/W4324106947","https://openalex.org/W770013183"],"related_works":["https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4283700523","https://openalex.org/W4221166418","https://openalex.org/W3168182983","https://openalex.org/W3117893869","https://openalex.org/W3106461837","https://openalex.org/W2973085194","https://openalex.org/W2968265130","https://openalex.org/W1723534789"],"abstract_inverted_index":{"Robot":[0],"design":[1,78,162],"is":[2,30,55,92],"often":[3],"a":[4,70,95,137,169,184],"slow":[5],"and":[6,13,59,76,81,118,149,166,182],"difficult":[7],"process":[8,29,99],"requiring":[9],"the":[10,18,23,34,38,41,45,62,88,107,110,114,121,125,151,161,164,196],"iterative":[11],"construction":[12],"testing":[14],"of":[15,20,40,109,139,153,163,200],"prototypes,":[16],"with":[17],"goal":[19],"sequentially":[21],"optimizing":[22,129],"design.":[24],"For":[25],"most":[26],"robots,":[27],"this":[28,66],"further":[31],"complicated":[32],"by":[33,84],"need,":[35],"when":[36],"validating":[37],"capabilities":[39],"hardware":[42,79,147],"to":[43,48,74,205],"solve":[44],"desired":[46],"task,":[47],"already":[49],"have":[50],"an":[51],"appropriate":[52],"controller,":[53],"which":[54,100],"in":[56,187],"turn":[57],"designed":[58],"tuned":[60],"for":[61,130,168],"specific":[63],"hardware.":[64],"In":[65],"paper,":[67],"we":[68],"propose":[69],"novel":[71],"approach,":[72],"HPC-BBO,":[73],"efficiently":[75],"automatically":[77,86],"configurations,":[80],"evaluate":[82],"them":[83],"also":[85],"tuning":[87],"corresponding":[89,122],"controller.":[90],"HPC-BBO":[91,134,159,177],"based":[93],"on":[94,106,160],"hierarchical":[96],"Bayesian":[97,192],"optimization":[98],"iteratively":[101],"optimizes":[102],"morphology":[103,141,165],"configurations":[104],"(based":[105],"performance":[108],"previous":[111,131],"designs":[112,142],"during":[113],"controller":[115,167],"learning":[116],"process)":[117],"subsequently":[119],"learns":[120],"controllers":[123],"(exploiting":[124],"knowledge":[126],"collected":[127],"from":[128,203],"morphologies).":[132],"Moreover,":[133],"can":[135],"select":[136],"\"batch\"":[138],"multiple":[140,179],"at":[143],"once,":[144],"thus":[145,194],"parallelizing":[146],"validation":[148],"reducing":[150,195],"number":[152],"time-consuming":[154],"production":[155,188],"cycles.":[156],"We":[157],"validate":[158],"simulated":[170],"6-legged":[171],"microrobot.":[172],"Experimental":[173],"results":[174],"show":[175],"that":[176],"outperforms":[178],"competitive":[180],"baselines,":[181],"yields":[183],"360%":[185],"reduction":[186],"cycles":[189],"over":[190],"standard":[191],"optimization,":[193],"hypothetical":[197],"manufacturing":[198],"time":[199],"our":[201],"microrobot":[202],"21":[204],"4":[206],"months.":[207]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2967894826","counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-01-06T19:42:35.895721","created_date":"2019-08-22"}