{"id":"https://openalex.org/W2214014761","doi":"https://doi.org/10.1109/iceee.2015.7357910","title":"Bipedal walking control in dynamic environment using data mining techniques","display_name":"Bipedal walking control in dynamic environment using data mining techniques","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2214014761","doi":"https://doi.org/10.1109/iceee.2015.7357910","mag":"2214014761"},"language":"en","primary_location":{"id":"doi:10.1109/iceee.2015.7357910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2015.7357910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","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/A5002764726","display_name":"Williams Pantoja","orcid":null},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Williams Pantoja","raw_affiliation_strings":["Departamento de computaci\u00f3n CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Departamento de computaci\u00f3n CINVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683740","display_name":"Xiaoou Li","orcid":"https://orcid.org/0000-0003-3087-7375"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Xiaoou Li","raw_affiliation_strings":["Departamento de computaci\u00f3n CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Departamento de computaci\u00f3n CINVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008201587","display_name":"Wen Yu","orcid":"https://orcid.org/0000-0002-9540-7924"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Wen Yu","raw_affiliation_strings":["Departamento de computaci\u00f3n CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Departamento de computaci\u00f3n CINVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002764726"],"corresponding_institution_ids":["https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0928523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10879","display_name":"Robotic Locomotion and Control","score":0.9995999932289124,"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":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13176","display_name":"Winter Sports Injuries and Performance","score":0.9545000195503235,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7695984244346619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5908642411231995},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5852534770965576},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5552489757537842},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5485920310020447},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5160874724388123},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5087810158729553},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5051360726356506},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.46478983759880066},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42984116077423096},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.41288983821868896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4117940068244934},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3394777178764343},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.281574010848999},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2665371298789978},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2382965087890625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12248209118843079},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07856050133705139}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7695984244346619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5908642411231995},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5852534770965576},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5552489757537842},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5485920310020447},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5160874724388123},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5087810158729553},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5051360726356506},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.46478983759880066},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42984116077423096},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.41288983821868896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4117940068244934},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3394777178764343},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.281574010848999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2665371298789978},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2382965087890625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12248209118843079},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07856050133705139},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceee.2015.7357910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2015.7357910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6700000166893005,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1504362584","https://openalex.org/W1515906293","https://openalex.org/W1597173708","https://openalex.org/W1874049655","https://openalex.org/W1974610117","https://openalex.org/W1976606095","https://openalex.org/W1979445292","https://openalex.org/W1982880998","https://openalex.org/W2001165022","https://openalex.org/W2022781970","https://openalex.org/W2031981642","https://openalex.org/W2089476757","https://openalex.org/W2096291722","https://openalex.org/W2098523767","https://openalex.org/W2099129715","https://openalex.org/W2102568724","https://openalex.org/W2112640448","https://openalex.org/W2127036885","https://openalex.org/W2138136244","https://openalex.org/W2155307968","https://openalex.org/W2156895423","https://openalex.org/W2171360984","https://openalex.org/W2235749866","https://openalex.org/W2911678770","https://openalex.org/W2914508454","https://openalex.org/W3145941942","https://openalex.org/W4205985701","https://openalex.org/W4252510982"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889"],"abstract_inverted_index":{"In":[0,40],"order":[1],"to":[2,33,92],"design":[3],"stable":[4],"walking":[5],"for":[6],"a":[7],"bipedal":[8],"robot":[9],"over":[10],"uneven":[11],"terrain,":[12],"advanced":[13],"control":[14,19],"methods":[15],"such":[16],"as":[17],"nonlinear":[18],"and":[20,23,54,57,82,88],"receding-horizon":[21],"control,":[22],"exact":[24],"hybrid":[25],"dynamics":[26],"are":[27,30,90],"needed.":[28],"They":[29],"too":[31],"complicated":[32],"be":[34],"used":[35],"in":[36],"the":[37,60,69,94],"many":[38],"applications.":[39],"this":[41],"paper,":[42],"we":[43],"use":[44],"data":[45],"mining":[46],"techniques,":[47],"locally":[48,79],"weighted":[49],"learning,":[50],"principal":[51,83],"component":[52,84],"regression":[53,55,85],"clustering,":[56],"combine":[58],"with":[59],"classical":[61],"proportional-integral-derivative":[62],"control.":[63],"The":[64,74],"biped":[65],"model":[66,75],"also":[67],"uses":[68],"observation":[70],"of":[71,78,96],"human":[72],"walking.":[73],"structure":[76],"consists":[77],"linear":[80],"modules":[81],"groups.":[86],"Experiments":[87],"analysis":[89],"given":[91],"evaluate":[93],"effectiveness":[95],"our":[97],"novel":[98],"method.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}