{"id":"https://openalex.org/W4223607701","doi":"https://doi.org/10.1109/iceic54506.2022.9748647","title":"Dynamic Obstacle Avoidance of Mobile Robots Using Real-Time Q-learning","display_name":"Dynamic Obstacle Avoidance of Mobile Robots Using Real-Time Q-learning","publication_year":2022,"publication_date":"2022-02-06","ids":{"openalex":"https://openalex.org/W4223607701","doi":"https://doi.org/10.1109/iceic54506.2022.9748647"},"language":"en","primary_location":{"id":"doi:10.1109/iceic54506.2022.9748647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic54506.2022.9748647","pdf_url":null,"source":{"id":"https://openalex.org/S4363608213","display_name":"2022 International Conference on Electronics, Information, and Communication (ICEIC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5112749385","display_name":"HoWon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"HoWon Kim","raw_affiliation_strings":["Pukyong National University,Smart Robot Convergence and Application Engineering,Busan,Republic of Korea","Smart Robot Convergence and Application Engineering, Pukyong National University, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pukyong National University,Smart Robot Convergence and Application Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"Smart Robot Convergence and Application Engineering, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033964369","display_name":"Won\u2010Chang Lee","orcid":"https://orcid.org/0000-0001-7163-5183"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"WonChang Lee","raw_affiliation_strings":["Pukyong National University,Department of Electronic Engineering,Busan,Republic of Korea","Department of Electronic Engineering, Pukyong National University, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pukyong National University,Department of Electronic Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"Department of Electronic Engineering, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112749385"],"corresponding_institution_ids":["https://openalex.org/I8991828"],"apc_list":null,"apc_paid":null,"fwci":0.4173,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69214935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9934999942779541,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8818592429161072},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.8674260377883911},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.8242027163505554},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.7690746188163757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6787598133087158},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.6554219722747803},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6515311002731323},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6220300197601318},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5431387424468994},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5254256725311279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5003781318664551},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.496023029088974},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4530980885028839},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.41873544454574585},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3985758423805237},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07082730531692505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06985673308372498}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8818592429161072},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.8674260377883911},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.8242027163505554},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7690746188163757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787598133087158},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.6554219722747803},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6515311002731323},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6220300197601318},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5431387424468994},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5254256725311279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5003781318664551},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.496023029088974},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4530980885028839},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.41873544454574585},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3985758423805237},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07082730531692505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06985673308372498},{"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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic54506.2022.9748647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic54506.2022.9748647","pdf_url":null,"source":{"id":"https://openalex.org/S4363608213","display_name":"2022 International Conference on Electronics, Information, and Communication (ICEIC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1504992226","https://openalex.org/W1564397097","https://openalex.org/W1963691546","https://openalex.org/W2106790698","https://openalex.org/W2477231637","https://openalex.org/W2545688262","https://openalex.org/W3021829440","https://openalex.org/W4255405898"],"related_works":["https://openalex.org/W2913749762","https://openalex.org/W2321940404","https://openalex.org/W2140606111","https://openalex.org/W4380590094","https://openalex.org/W2050548713","https://openalex.org/W2991662304","https://openalex.org/W3119736302","https://openalex.org/W2794689129","https://openalex.org/W4381746183","https://openalex.org/W2785353696"],"abstract_inverted_index":{"As":[0],"the":[1,10,19,62],"field":[2,20],"of":[3,12,21,61,83],"autonomous":[4,22],"navigation":[5,23],"has":[6],"been":[7],"actively":[8],"researched,":[9],"importance":[11],"route":[13],"search":[14],"is":[15,27],"increasing.":[16],"In":[17,65],"particular,":[18],"using":[24],"reinforcement":[25,55],"learning":[26,56],"being":[28],"intensively":[29],"studied.":[30],"However,":[31],"this":[32,66],"requires":[33],"very":[34],"complex":[35],"algorithms":[36],"and":[37,79],"high":[38],"cost.":[39],"Previous":[40],"studies":[41],"have":[42],"shown":[43],"that":[44,70],"path":[45,77],"planning":[46,78],"can":[47,73],"also":[48],"be":[49,74],"performed":[50],"with":[51,58],"Q-learning,":[52],"a":[53,91],"lightweight":[54],"algorithm,":[57],"proper":[59],"selection":[60],"exploration":[63],"strategy.":[64],"paper,":[67],"we":[68,94],"show":[69],"real-time":[71,98],"Q-learning":[72,99],"used":[75],"for":[76],"dynamic":[80],"obstacle":[81],"avoidance":[82],"mobile":[84,102],"robots":[85,103],"in":[86,90],"various":[87],"environments.":[88],"And":[89],"follow-up":[92],"study,":[93],"plan":[95],"to":[96,100],"apply":[97],"real":[101],"rather":[104],"than":[105],"simulations.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-02T08:42:23.175194","created_date":"2025-10-10T00:00:00"}
