{"id":"https://openalex.org/W2899224781","doi":"https://doi.org/10.1155/2018/4358747","title":"Robot Motion Planning Method Based on Incremental High\u2010Dimensional Mixture Probabilistic Model","display_name":"Robot Motion Planning Method Based on Incremental High\u2010Dimensional Mixture Probabilistic Model","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2899224781","doi":"https://doi.org/10.1155/2018/4358747","mag":"2899224781"},"language":"en","primary_location":{"id":"doi:10.1155/2018/4358747","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/4358747","pdf_url":"https://downloads.hindawi.com/journals/complexity/2018/4358747.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2018/4358747.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008850130","display_name":"Fusheng Zha","orcid":"https://orcid.org/0000-0001-9695-1940"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4391767639","display_name":"State Key Laboratory of Robotics and Systems","ror":"https://ror.org/015m77g16","country_code":null,"type":"facility","lineage":["https://openalex.org/I204983213","https://openalex.org/I4391767639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fusheng Zha","raw_affiliation_strings":["State key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4391767639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046498402","display_name":"Yizhou Liu","orcid":"https://orcid.org/0000-0001-5327-9496"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4391767639","display_name":"State Key Laboratory of Robotics and Systems","ror":"https://ror.org/015m77g16","country_code":null,"type":"facility","lineage":["https://openalex.org/I204983213","https://openalex.org/I4391767639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhou Liu","raw_affiliation_strings":["State key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin"],"raw_orcid":"https://orcid.org/0000-0001-5327-9496","affiliations":[{"raw_affiliation_string":"State key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4391767639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101991352","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0003-2659-6677"},"institutions":[{"id":"https://openalex.org/I4210159500","display_name":"Shenzhen Academy of Aerospace Technology","ror":"https://ror.org/05etzsm06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210159500"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Shenzhen Academy of Aerospace Technology, Shenzhen"],"raw_orcid":"https://orcid.org/0000-0003-2659-6677","affiliations":[{"raw_affiliation_string":"Shenzhen Academy of Aerospace Technology, Shenzhen","institution_ids":["https://openalex.org/I4210159500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405442","display_name":"Fei Chen","orcid":"https://orcid.org/0000-0003-4397-0931"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Fei Chen","raw_affiliation_strings":["Istituto Italiano di Tecnologia, Via Morego 30, Genova"],"raw_orcid":"https://orcid.org/0000-0003-4397-0931","affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia, Via Morego 30, Genova","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101690738","display_name":"Jingxuan Li","orcid":"https://orcid.org/0000-0002-9526-3043"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4391767639","display_name":"State Key Laboratory of Robotics and Systems","ror":"https://ror.org/015m77g16","country_code":null,"type":"facility","lineage":["https://openalex.org/I204983213","https://openalex.org/I4391767639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxuan Li","raw_affiliation_strings":["State key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4391767639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101729383","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0002-8461-8902"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4391767639","display_name":"State Key Laboratory of Robotics and Systems","ror":"https://ror.org/015m77g16","country_code":null,"type":"facility","lineage":["https://openalex.org/I204983213","https://openalex.org/I4391767639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Guo","raw_affiliation_strings":["State key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4391767639"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100405442","https://openalex.org/A5101991352"],"corresponding_institution_ids":["https://openalex.org/I30771326","https://openalex.org/I4210159500"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.4241,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68384334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.7570573687553406},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5942949056625366},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.541641116142273},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5027294158935547},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.45346274971961975},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45097702741622925},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4505229890346527},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.44982144236564636},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4496607184410095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4491463005542755},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44294002652168274},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43806225061416626},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.4347727298736572},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.41144245862960815},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3941709101200104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35948777198791504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33735767006874084},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3257295787334442},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20835870504379272},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17684128880500793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570573687553406},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5942949056625366},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.541641116142273},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5027294158935547},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.45346274971961975},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45097702741622925},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4505229890346527},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.44982144236564636},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4496607184410095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4491463005542755},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44294002652168274},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43806225061416626},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.4347727298736572},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.41144245862960815},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3941709101200104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35948777198791504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33735767006874084},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3257295787334442},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20835870504379272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17684128880500793},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/2018/4358747","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/4358747","pdf_url":"https://downloads.hindawi.com/journals/complexity/2018/4358747.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:4358747","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2018/4358747.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:0634c2aba4d94051960b4aafe36560e7","is_oa":true,"landing_page_url":"https://doaj.org/article/0634c2aba4d94051960b4aafe36560e7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2018 (2018)","raw_type":"article"},{"id":"pmh:oai:zenodo.org:49042","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/49042","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1155/2018/4358747","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/4358747","pdf_url":"https://downloads.hindawi.com/journals/complexity/2018/4358747.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G3871414424","display_name":null,"funder_award_id":"61773139","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4323752568","display_name":null,"funder_award_id":"U1713222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4524437633","display_name":null,"funder_award_id":"F2015008","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G5883920160","display_name":null,"funder_award_id":"61473015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G74207617","display_name":null,"funder_award_id":"KQTD2016112515134654","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8412823565","display_name":null,"funder_award_id":"KQTD2016112515134654","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320335790","display_name":"Shenzhen Peacock Plan","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899224781.pdf","grobid_xml":"https://content.openalex.org/works/W2899224781.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1502517891","https://openalex.org/W1570876803","https://openalex.org/W1864112212","https://openalex.org/W1971086298","https://openalex.org/W2000359213","https://openalex.org/W2016930536","https://openalex.org/W2021118704","https://openalex.org/W2029652111","https://openalex.org/W2066011869","https://openalex.org/W2109212155","https://openalex.org/W2110762409","https://openalex.org/W2123703543","https://openalex.org/W2128291700","https://openalex.org/W2128990851","https://openalex.org/W2133844819","https://openalex.org/W2141664020","https://openalex.org/W2151184669","https://openalex.org/W2168227362","https://openalex.org/W2171266831","https://openalex.org/W2219970372","https://openalex.org/W2401467858","https://openalex.org/W2468673050","https://openalex.org/W2795974647","https://openalex.org/W2963439114","https://openalex.org/W4252516547","https://openalex.org/W4298905967","https://openalex.org/W6684452406"],"related_works":["https://openalex.org/W2891776881","https://openalex.org/W2244559970","https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4293503520","https://openalex.org/W4300066510","https://openalex.org/W4406204722","https://openalex.org/W2056958800","https://openalex.org/W2557467218","https://openalex.org/W2803685231"],"abstract_inverted_index":{"The":[0,84,159],"sampling\u2010based":[1,144],"motion":[2,11,145],"planner":[3],"is":[4,82,95,111,138,148],"the":[5,10,18,59,76,92,114,120,136,167,173],"mainstream":[6],"method":[7,104,118,169],"to":[8,30,53,132],"solve":[9],"planning":[12,44,174],"problem":[13],"in":[14,62,97,150],"high\u2010dimensional":[15,77],"space.":[16],"In":[17],"process":[19],"of":[20,27,38,58,70,86,88,122,143,153],"exploring":[21],"robot":[22],"configuration":[23,63],"space,":[24],"this":[25,47,117],"type":[26],"algorithm":[28,110],"needs":[29],"perform":[31],"collision":[32,80],"query":[33,81],"on":[34,74,91,106],"a":[35,55,67,100,141],"large":[36,68],"number":[37,69,87],"samples,":[39],"which":[40],"greatly":[41],"limits":[42],"their":[43],"efficiency.":[45,175],"Therefore,":[46],"paper":[48],"uses":[49],"machine":[50],"learning":[51,66],"methods":[52],"establish":[54],"probabilistic":[56],"model":[57,102,128,137],"obstacle":[60],"region":[61],"space":[64],"by":[65],"labeled":[71],"samples.":[72],"Based":[73],"this,":[75],"samples\u2019":[78],"rapid":[79],"realized.":[83],"influence":[85],"Gaussian":[89],"components":[90],"fitting":[93,129],"accuracy":[94],"analyzed":[96],"detail,":[98],"and":[99,125,147,155],"self\u2010adaptive":[101],"training":[103],"based":[105],"Greedy":[107],"expectation\u2010maximization":[108],"(EM)":[109],"proposed.":[112],"At":[113],"same":[115],"time,":[116],"has":[119,170],"capability":[121],"online":[123],"updating":[124],"can":[126],"eliminate":[127],"errors":[130],"due":[131],"environmental":[133],"changes.":[134],"Finally,":[135],"combined":[139],"with":[140,164],"variety":[142],"planners":[146],"validated":[149],"multiple":[151],"sets":[152],"simulations":[154],"real":[156],"world":[157],"experiments.":[158],"results":[160],"show":[161],"that,":[162],"compared":[163],"traditional":[165],"methods,":[166],"proposed":[168],"significantly":[171],"improved":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
