乐胖代购免代理版

{"id":"https://openalex.org/W4403784597","doi":"https://doi.org/10.48550/arxiv.2409.16862","title":"Behavior evolution-inspired approach to walking gait reinforcement\n training for quadruped robots","display_name":"Behavior evolution-inspired approach to walking gait reinforcement\n training for quadruped robots","publication_year":2024,"publication_date":"2024-09-25","ids":{"openalex":"https://openalex.org/W4403784597","doi":"https://doi.org/10.48550/arxiv.2409.16862"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.16862","pdf_url":"http://arxiv.org/pdf/2409.16862","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2409.16862","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100626680","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-8344-1586"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062350659","display_name":"Wenchuan Jia","orcid":"https://orcid.org/0000-0003-3697-2664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Wenchuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934902","display_name":"Yi Sun","orcid":"https://orcid.org/0000-0002-1746-0404"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112126900","display_name":"Dong He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Dong","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":77},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10879","display_name":"Robotic Locomotion and Control","score":0.9991,"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":0.9991,"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/gait-training","display_name":"Gait training","score":0.4244882}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.69082355},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.63274145},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6184193},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.59521157},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.50551224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45015922},{"id":"https://openalex.org/C2777217371","wikidata":"https://www.wikidata.org/wiki/Q5517370","display_name":"Gait training","level":3,"score":0.4244882},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.36342096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3391598},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33195353},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12760949},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.114058256},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07402775},{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.059648603},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.056340337},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.16862","pdf_url":"http://arxiv.org/pdf/2409.16862","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":"http://arxiv.org/abs/2409.16862","pdf_url":"http://arxiv.org/pdf/2409.16862","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":0,"referenced_works":[],"related_works":["https://openalex.org/W4401638378","https://openalex.org/W4225088348","https://openalex.org/W3086559296","https://openalex.org/W2738285034","https://openalex.org/W2528860757","https://openalex.org/W2318175797","https://openalex.org/W2047066988","https://openalex.org/W2026679109","https://openalex.org/W1969367476","https://openalex.org/W1596965296"],"abstract_inverted_index":{"Reinforcement":[0],"learning":[1,37,74,96,165],"method":[2],"is":[3,14,26,38,88,123,130,160,171,191,205],"extremely":[4],"competitive":[5],"in":[6,23,58,90,193],"gait":[7,60,87,122,159,180],"generation":[8],"techniques":[9],"for":[10,85,117,138,162],"quadrupedal":[11],"robot,":[12],"which":[13],"mainly":[15],"due":[16],"to":[17,28,40,62,93,105,133,147,176,209,212],"the":[18,50,70,76,107,139,143,149,156,179,199,203],"fact":[19],"that":[20,202],"stochastic":[21],"exploration":[22],"reinforcement":[24,36,73,118,164,215],"training":[25,42,119],"beneficial":[27],"achieve":[29],"an":[30],"autonomous":[31],"gait.":[32,167],"Nevertheless,":[33],"although":[34],"incremental":[35,95,163,214],"employed":[39],"improve":[41],"success":[43],"and":[44,65,75,99,173,188,198],"movement":[45],"smoothness":[46],"by":[47,69],"relying":[48],"on":[49,196],"continuity":[51],"inherent":[52],"during":[53],"limb":[54],"movements,":[55],"challenges":[56],"remain":[57],"adapting":[59],"policy":[61],"diverse":[63],"terrain":[64,210],"external":[66],"disturbance.":[67],"Inspired":[68],"association":[71],"between":[72],"evolution":[77,108],"of":[78,97,101,109,120,142,166],"animal":[79,110],"motion":[80,111],"behavior,":[81],"a":[82,114],"self-improvement":[83,100],"mechanism":[84],"reference":[86,102,150,158],"introduced":[89],"this":[91,126],"paper":[92],"enable":[94],"action":[98,103],"together":[104],"imitate":[106],"behavior.":[112],"Further,":[113],"new":[115],"framework":[116,204],"quadruped":[121],"proposed.":[124],"In":[125],"framework,":[127],"genetic":[128],"algorithm":[129],"specifically":[131],"adopted":[132],"perform":[134],"global":[135],"probabilistic":[136],"search":[137],"initial":[140],"value":[141],"arbitrary":[144],"foot":[145],"trajectory":[146,151],"update":[148],"with":[152],"better":[153],"fitness.":[154],"Subsequently,":[155],"improved":[157],"used":[161],"The":[168,182],"above":[169],"process":[170],"repeatedly":[172],"alternatively":[174],"executed":[175],"finally":[177],"train":[178],"policy.":[181],"analysis":[183],"considering":[184],"terrain,":[185],"model":[186],"dimensions,":[187],"locomotion":[189],"condition":[190],"presented":[192],"detail":[194],"based":[195],"simulation,":[197],"results":[200],"show":[201],"significantly":[206],"more":[207],"adaptive":[208],"compared":[211],"regular":[213],"learning.":[216]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4403784597","counts_by_year":[],"updated_date":"2025-04-16T03:58:00.375847","created_date":"2024-10-26"}