{"id":"https://openalex.org/W3116676877","doi":"https://doi.org/10.1109/rcar49640.2020.9303259","title":"Walking Simulation of Biped Robot on Inclined Plane Based on Gait Recognition","display_name":"Walking Simulation of Biped Robot on Inclined Plane Based on Gait Recognition","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3116676877","doi":"https://doi.org/10.1109/rcar49640.2020.9303259","mag":"3116676877"},"language":"en","primary_location":{"id":"doi:10.1109/rcar49640.2020.9303259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar49640.2020.9303259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5089977649","display_name":"Jianjun Yu","orcid":"https://orcid.org/0000-0002-2101-7018"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Yu","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369775","display_name":"Chen Li","orcid":"https://orcid.org/0000-0001-7516-3646"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010150668","display_name":"Daoxiong Gong","orcid":"https://orcid.org/0000-0003-2492-9159"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoxiong Gong","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017790030","display_name":"Guoyu Zuo","orcid":"https://orcid.org/0000-0002-7624-4728"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyu Zuo","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423362","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0003-4507-951X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, and Beijing Key Laboratory of Computational, Intelligence and Intelligent System, Pingleyuan, Chaoyang District, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":1.3531,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80787932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"44","issue":null,"first_page":"256","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10879","display_name":"Robotic Locomotion and Control","score":0.9998999834060669,"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":0.9998999834060669,"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.9577999711036682,"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":0.9480999708175659,"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/robot","display_name":"Robot","score":0.7225466966629028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5955610275268555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5753233432769775},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.532062828540802},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.514385998249054},{"id":"https://openalex.org/keywords/ankle","display_name":"Ankle","score":0.5042778253555298},{"id":"https://openalex.org/keywords/robot-kinematics","display_name":"Robot kinematics","score":0.49131646752357483},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.4582686722278595},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.44604671001434326},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.44289085268974304},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.43691694736480713},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.42676761746406555},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3762660622596741},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.12551116943359375},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09185177087783813},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07032462954521179}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7225466966629028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5955610275268555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5753233432769775},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.532062828540802},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.514385998249054},{"id":"https://openalex.org/C2778640784","wikidata":"https://www.wikidata.org/wiki/Q168002","display_name":"Ankle","level":2,"score":0.5042778253555298},{"id":"https://openalex.org/C74222875","wikidata":"https://www.wikidata.org/wiki/Q16000312","display_name":"Robot kinematics","level":4,"score":0.49131646752357483},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.4582686722278595},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.44604671001434326},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.44289085268974304},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.43691694736480713},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.42676761746406555},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3762660622596741},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.12551116943359375},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09185177087783813},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07032462954521179},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar49640.2020.9303259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar49640.2020.9303259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2018695512","https://openalex.org/W2105279695","https://openalex.org/W2113472430","https://openalex.org/W2314892029","https://openalex.org/W2396629227","https://openalex.org/W2544692362","https://openalex.org/W2587174207"],"related_works":["https://openalex.org/W1886477626","https://openalex.org/W2762381663","https://openalex.org/W4385196987","https://openalex.org/W1540467731","https://openalex.org/W218732962","https://openalex.org/W2538037439","https://openalex.org/W4317826762","https://openalex.org/W2741909783","https://openalex.org/W1979383880","https://openalex.org/W4210919297"],"abstract_inverted_index":{"Limited":[0],"by":[1,49],"the":[2,4,8,12,17,20,28,33,40,47,51,57,60,65,72,76,84,88,97,107,111,120,124,139,149,159,165,169,173,181,190,195,202,209,214,220],"structure,":[3],"walking":[5,121,182,216],"motion":[6],"of":[7,19,42,87,99,123,141,143,153],"biped":[9,174],"robot":[10,29,48,73,175,211],"on":[11,56,164],"slope":[13,34,108,112,166,186],"is":[14,35,67,177],"prone":[15],"to":[16,30,63,74,95,105,109,118,136,179,189,201],"problem":[18],"centroid":[21,43],"shifting":[22],"back":[23],"and":[24,45,78,101,130,151,156,194],"forth,":[25],"which":[26],"causes":[27],"fall.":[31],"If":[32],"known,":[36],"we":[37,93],"can":[38,212],"achieve":[39],"purpose":[41],"adjustment":[44],"stabilize":[46],"compensating":[50],"robot's":[52,61,160],"ankle":[53,85,161],"joint":[54,86],"based":[55,163],"slope.":[58],"But":[59],"ability":[62,104],"perceive":[64,106],"environment":[66,187],"limited,":[68],"it's":[69],"hard":[70],"for":[71,83],"recognize":[75],"slop":[77],"then":[79,131,157],"make":[80],"effective":[81],"compensation":[82,197],"robot.":[89],"In":[90],"this":[91],"paper,":[92],"propose":[94],"use":[96,102],"idea":[98],"imitation":[100],"people's":[103],"complete":[110,148,213],"angle":[113],"perception.":[114],"Using":[115],"Kinect":[116],"sensors":[117],"obtain":[119],"information":[122],"human":[125],"body":[126],"under":[127,219],"different":[128,154],"slopes,":[129,155],"using":[132],"LSTM":[133],"neural":[134],"network":[135],"jointly":[137],"learn":[138],"degrees":[140],"freedom":[142],"multiple":[144],"lower":[145],"limb":[146],"joints,":[147],"classification":[150],"recognition":[152],"compensate":[158],"joints":[162],"inclination.":[167],"On":[168],"WEBOTS":[170],"simulation":[171,205,218],"platform,":[172],"NAO":[176,210],"driven":[178],"reproduce":[180],"action":[183],"in":[184],"a":[185],"according":[188,200],"corresponding":[191,221],"movement":[192,217],"strategy":[193],"label":[196],"method":[198],"obtained":[199],"classification.":[203],"The":[204],"results":[206],"show":[207],"that":[208],"stable":[215],"gradient":[222],"environment.":[223]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
