{"id":"https://openalex.org/W3183781271","doi":"https://doi.org/10.1145/3459104.3459120","title":"An Experimental Study for Tracking Ability of Deep Q-Network under the Multi-Objective Behaviour using a Mobile Robot with LiDAR","display_name":"An Experimental Study for Tracking Ability of Deep Q-Network under the Multi-Objective Behaviour using a Mobile Robot with LiDAR","publication_year":2021,"publication_date":"2021-02-19","ids":{"openalex":"https://openalex.org/W3183781271","doi":"https://doi.org/10.1145/3459104.3459120","mag":"3183781271"},"language":"en","primary_location":{"id":"doi:10.1145/3459104.3459120","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459104.3459120","pdf_url":null,"source":{"id":"https://openalex.org/S4306498858","display_name":"2021 International Symposium on Electrical, Electronics and Information Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Electrical, Electronics and Information Engineering","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/A5028093179","display_name":"Masashi Sugimoto","orcid":"https://orcid.org/0000-0001-6201-1475"},"institutions":[{"id":"https://openalex.org/I43545212","display_name":"Ehime University","ror":"https://ror.org/017hkng22","country_code":"JP","type":"education","lineage":["https://openalex.org/I43545212"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masashi SUGIMOTO","raw_affiliation_strings":["Ehime University, Japan"],"affiliations":[{"raw_affiliation_string":"Ehime University, Japan","institution_ids":["https://openalex.org/I43545212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071975723","display_name":"Ryunosuke UCHIDA","orcid":null},"institutions":[{"id":"https://openalex.org/I43545212","display_name":"Ehime University","ror":"https://ror.org/017hkng22","country_code":"JP","type":"education","lineage":["https://openalex.org/I43545212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryunosuke UCHIDA","raw_affiliation_strings":["Ehime University, Japan"],"affiliations":[{"raw_affiliation_string":"Ehime University, Japan","institution_ids":["https://openalex.org/I43545212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062525434","display_name":"Shinji Tsuzuki","orcid":null},"institutions":[{"id":"https://openalex.org/I43545212","display_name":"Ehime University","ror":"https://ror.org/017hkng22","country_code":"JP","type":"education","lineage":["https://openalex.org/I43545212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji TSUZUKI","raw_affiliation_strings":["Ehime University, Japan"],"affiliations":[{"raw_affiliation_string":"Ehime University, Japan","institution_ids":["https://openalex.org/I43545212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016093412","display_name":"Hitoshi SORI","orcid":null},"institutions":[{"id":"https://openalex.org/I22040003","display_name":"National Institute of Technology, Tsuyama College","ror":"https://ror.org/0485q2d74","country_code":"JP","type":"education","lineage":["https://openalex.org/I22040003","https://openalex.org/I4210120810"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi SORI","raw_affiliation_strings":["National Institute of Technology, Tsuyama College, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Tsuyama College, Japan","institution_ids":["https://openalex.org/I22040003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101865960","display_name":"Hiroyuki Inoue","orcid":"https://orcid.org/0000-0003-2942-0263"},"institutions":[{"id":"https://openalex.org/I22040003","display_name":"National Institute of Technology, Tsuyama College","ror":"https://ror.org/0485q2d74","country_code":"JP","type":"education","lineage":["https://openalex.org/I22040003","https://openalex.org/I4210120810"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki INOUE","raw_affiliation_strings":["National Institute of Technology, Tsuyama College, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Tsuyama College, Japan","institution_ids":["https://openalex.org/I22040003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067555059","display_name":"Kentarou Kurashige","orcid":"https://orcid.org/0000-0001-9364-1269"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentarou KURASHIGE","raw_affiliation_strings":["Muroran Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083051318","display_name":"Shiro Urushihara","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160866","display_name":"National Institute of Technology, Kagawa College","ror":"https://ror.org/04xfwhf17","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810","https://openalex.org/I4210160866"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shiro URUSHIHARA","raw_affiliation_strings":["National Institute of Technology, Kagawa College, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Kagawa College, Japan","institution_ids":["https://openalex.org/I4210160866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5028093179"],"corresponding_institution_ids":["https://openalex.org/I43545212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09357081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9954000115394592,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/grind","display_name":"Grind","score":0.8762927055358887},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6904793977737427},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6777592301368713},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6242762804031372},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.6177029609680176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6121025085449219},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5635703206062317},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.540647029876709},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5325184464454651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5141825675964355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40722429752349854},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3608589470386505},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32981932163238525},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22918662428855896},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08432111144065857},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.07539579272270203},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.06683173775672913}],"concepts":[{"id":"https://openalex.org/C2779201687","wikidata":"https://www.wikidata.org/wiki/Q638274","display_name":"Grind","level":3,"score":0.8762927055358887},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6904793977737427},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6777592301368713},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6242762804031372},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.6177029609680176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6121025085449219},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5635703206062317},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.540647029876709},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5325184464454651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5141825675964355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40722429752349854},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3608589470386505},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32981932163238525},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22918662428855896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08432111144065857},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.07539579272270203},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.06683173775672913},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2777571299","wikidata":"https://www.wikidata.org/wiki/Q3680646","display_name":"Grinding","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459104.3459120","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459104.3459120","pdf_url":null,"source":{"id":"https://openalex.org/S4306498858","display_name":"2021 International Symposium on Electrical, Electronics and Information Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Electrical, Electronics and Information Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1658008008","https://openalex.org/W2074130341","https://openalex.org/W2152050309","https://openalex.org/W2312396789","https://openalex.org/W2319028702","https://openalex.org/W2326190201","https://openalex.org/W2806956361","https://openalex.org/W3034990126","https://openalex.org/W6637967152"],"related_works":["https://openalex.org/W3096874164","https://openalex.org/W2166117066","https://openalex.org/W2357975469","https://openalex.org/W2136202932","https://openalex.org/W3087814763","https://openalex.org/W2892507673","https://openalex.org/W2361647908","https://openalex.org/W2937181779","https://openalex.org/W2537866915","https://openalex.org/W2089415692"],"abstract_inverted_index":{"The":[0],"Reinforcement":[1],"Learning":[2],"(RL)":[3],"had":[4],"been":[5],"attracting":[6],"attention":[7],"for":[8],"a":[9,43,65],"long":[10],"time":[11],"that":[12,67],"because":[13],"it":[14,33],"can":[15],"be":[16,71],"easily":[17],"applied":[18],"to":[19,50],"real":[20],"robots.":[21],"On":[22],"the":[23,35,59],"other":[24],"hand,":[25],"in":[26,74],"Q-Learning":[27],"one":[28],"of":[29,46,58,76,78],"RL":[30],"methods,":[31],"since":[32],"contains":[34],"Q-table":[36],"and":[37,80],"grind":[38],"environment":[39],"is":[40],"updated,":[41],"especially,":[42],"large":[44],"amount":[45,77],"Q-tables":[47],"are":[48],"required":[49],"express":[51],"continuous":[52],"\u201cstates,\u201d":[53],"such":[54],"as":[55],"smooth":[56],"movements":[57],"robot":[60],"arm.":[61],"Moreover,":[62],"there":[63],"was":[64],"disadvantage":[66],"calculation":[68],"could":[69],"not":[70],"performed":[72],"real-time":[73],"case":[75],"states":[79],"actions.":[81]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}