{"id":"https://openalex.org/W4387914237","doi":"https://doi.org/10.1109/codit58514.2023.10284376","title":"Machine Learning Control Synthesis by Symbolic Regression for Avoidance of Arbitrary Positioned Obstacles","display_name":"Machine Learning Control Synthesis by Symbolic Regression for Avoidance of Arbitrary Positioned Obstacles","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4387914237","doi":"https://doi.org/10.1109/codit58514.2023.10284376"},"language":"en","primary_location":{"id":"doi:10.1109/codit58514.2023.10284376","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5023524684","display_name":"Elizaveta Shmalko","orcid":"https://orcid.org/0000-0002-0149-9638"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"funder","lineage":["https://openalex.org/I1313323035"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Elizaveta Shmalko","raw_affiliation_strings":["Federal Research Center &#x201C;Computer Science and Control&#x201D; of the Rus-sian Academy of Sciences,The Department of Robotics Control,Moscow,Russia,119333"],"affiliations":[{"raw_affiliation_string":"Federal Research Center &#x201C;Computer Science and Control&#x201D; of the Rus-sian Academy of Sciences,The Department of Robotics Control,Moscow,Russia,119333","institution_ids":["https://openalex.org/I1313323035"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044133211","display_name":"Askhat Diveev","orcid":"https://orcid.org/0000-0003-2057-9016"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"funder","lineage":["https://openalex.org/I1313323035"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Askhat Diveev","raw_affiliation_strings":["Federal Research Center &#x201C;Computer Science and Control&#x201D; of the Russian Academy of Sciences&#x0027; 119333,The Department of Robotics Control,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Federal Research Center &#x201C;Computer Science and Control&#x201D; of the Russian Academy of Sciences&#x0027; 119333,The Department of Robotics Control,Moscow,Russia","institution_ids":["https://openalex.org/I1313323035"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023524684"],"corresponding_institution_ids":["https://openalex.org/I1313323035"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16381316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"668","last_page":"673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9549999833106995,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9549999833106995,"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"}},{"id":"https://openalex.org/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9455999732017517,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9423999786376953,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7951852679252625},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.7496943473815918},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6829724311828613},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.6602211594581604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5908644795417786},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.532211184501648},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4964180588722229},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.47973552346229553},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4736248850822449},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44881030917167664},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4419032633304596},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43452176451683044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39602530002593994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30204135179519653}],"concepts":[{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7951852679252625},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.7496943473815918},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6829724311828613},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.6602211594581604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5908644795417786},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.532211184501648},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4964180588722229},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.47973552346229553},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4736248850822449},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44881030917167664},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4419032633304596},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43452176451683044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39602530002593994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30204135179519653},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit58514.2023.10284376","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1592222141","https://openalex.org/W1923344279","https://openalex.org/W1974636618","https://openalex.org/W2006859604","https://openalex.org/W2073765571","https://openalex.org/W2177274602","https://openalex.org/W2239144353","https://openalex.org/W2546700740","https://openalex.org/W2803632423","https://openalex.org/W2971661138","https://openalex.org/W2974922583","https://openalex.org/W3030878622","https://openalex.org/W3033909669","https://openalex.org/W3043246542","https://openalex.org/W3100090634","https://openalex.org/W3101394383","https://openalex.org/W3106411828","https://openalex.org/W3114860884","https://openalex.org/W3133037842","https://openalex.org/W3170908635","https://openalex.org/W3209092172","https://openalex.org/W4220907258","https://openalex.org/W4226503583","https://openalex.org/W4308335677","https://openalex.org/W6635528860","https://openalex.org/W6786301256","https://openalex.org/W7029078076"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W4391249562","https://openalex.org/W2356867392","https://openalex.org/W2782776446","https://openalex.org/W3043170174","https://openalex.org/W2155948905","https://openalex.org/W2906946336"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,15,29,60,66,83],"control":[3,76],"synthesis":[4,69],"for":[5,94],"a":[6,26,64,73,80,89,95,99],"mobile":[7,96],"robot":[8,97],"with":[9,98],"phase":[10],"constraints":[11],"in":[12,42],"the":[13,24,40,47,52,55,58,68,84],"form":[14],"an":[16],"arbitrarily":[17],"located":[18],"obstacle":[19,56,85],"is":[20,36,102],"formulated.":[21],"To":[22],"solve":[23],"problem,":[25,70],"numerical":[27],"method":[28],"machine":[30],"learning":[31],"based":[32],"on":[33],"symbolic":[34],"regression":[35],"used.":[37],"According":[38],"to":[39,44,54,88],"approach,":[41],"addition":[43],"its":[45,61],"state,":[46],"object":[48],"receives":[49],"information":[50],"about":[51],"distance":[53],"and":[57],"direction":[59],"location.":[62],"As":[63],"result":[65],"solving":[67],"we":[71],"obtain":[72],"nonlinear":[74],"feedback":[75],"function":[77],"that":[78],"provides":[79],"better":[81],"estimate":[82],"bypass":[86],"according":[87],"given":[90],"criterion.":[91],"An":[92],"example":[93],"differential":[100],"drive":[101],"considered.":[103]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
