{"id":"https://openalex.org/W4294672993","doi":"https://doi.org/10.1109/rcar54675.2022.9872229","title":"An Efficient Learning Based Autonomous Exploration Algorithm For Mobile Robots","display_name":"An Efficient Learning Based Autonomous Exploration Algorithm For Mobile Robots","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4294672993","doi":"https://doi.org/10.1109/rcar54675.2022.9872229"},"language":"en","primary_location":{"id":"doi:10.1109/rcar54675.2022.9872229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar54675.2022.9872229","pdf_url":null,"source":{"id":"https://openalex.org/S4363608312","display_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5058236305","display_name":"Zhiwei Xing","orcid":"https://orcid.org/0000-0001-6689-3719"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwei Xing","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen),School of Mechanical Engineering and Automation,Shenzhen,China","School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen),School of Mechanical Engineering and Automation,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379888","display_name":"Jintao Wang","orcid":"https://orcid.org/0000-0002-7118-4738"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintao Wang","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen),School of Mechanical Engineering and Automation,Shenzhen,China","School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen),School of Mechanical Engineering and Automation,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084715042","display_name":"Xiaorui Zhu","orcid":"https://orcid.org/0000-0003-1400-059X"},"institutions":[{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorui Zhu","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen),School of Mechanical Engineering and Automation,Shenzhen,China","Zhuhai Bigdata Research Institute, Zhuhai, China","School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen),School of Mechanical Engineering and Automation,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Zhuhai Bigdata Research Institute, Zhuhai, China","institution_ids":["https://openalex.org/I4210165204"]},{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058236305"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.1199,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40767147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"551","last_page":"556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9988999962806702,"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":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7320919632911682},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7304579019546509},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6266812086105347},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.607471227645874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5759029388427734},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5671798586845398},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5300730466842651},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5035921931266785},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4768484830856323},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43198782205581665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42124420404434204},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.41433802247047424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13645794987678528},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09800982475280762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7320919632911682},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7304579019546509},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6266812086105347},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.607471227645874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5759029388427734},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5671798586845398},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5300730466842651},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5035921931266785},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4768484830856323},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43198782205581665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42124420404434204},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.41433802247047424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13645794987678528},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09800982475280762},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar54675.2022.9872229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar54675.2022.9872229","pdf_url":null,"source":{"id":"https://openalex.org/S4363608312","display_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1569601317","https://openalex.org/W1959608418","https://openalex.org/W2006003168","https://openalex.org/W2013229266","https://openalex.org/W2024162894","https://openalex.org/W2069654231","https://openalex.org/W2107667896","https://openalex.org/W2125420246","https://openalex.org/W2134877736","https://openalex.org/W2172103629","https://openalex.org/W2296693980","https://openalex.org/W2529528107","https://openalex.org/W2563670399","https://openalex.org/W2564666437","https://openalex.org/W2580369984","https://openalex.org/W2763168458","https://openalex.org/W2771342126","https://openalex.org/W2771728020","https://openalex.org/W2784154204","https://openalex.org/W2968284168","https://openalex.org/W6640963894","https://openalex.org/W6680023198"],"related_works":["https://openalex.org/W1904098742","https://openalex.org/W3158921809","https://openalex.org/W2161428574","https://openalex.org/W2077416514","https://openalex.org/W2618632915","https://openalex.org/W2359600231","https://openalex.org/W4292862729","https://openalex.org/W2170661558","https://openalex.org/W2999143598","https://openalex.org/W2593985399"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,26,40,52],"novel":[4],"autonomous":[5],"exploration":[6,13,106],"algorithm":[7,100],"is":[8,36,62,80],"proposed":[9,37,63,99],"to":[10,38,64,82],"achieve":[11],"efficient":[12],"task":[14],"of":[15,21,42,48,86],"an":[16],"unknown":[17,49],"environment":[18],"in":[19,104],"terms":[20],"the":[22,32,72,77,87,98],"shortest":[23],"path.":[24],"First,":[25],"new":[27],"neural":[28],"network":[29],"based":[30,70],"on":[31,71],"variational":[33],"autoencoder,":[34],"LMPnet,":[35],"predict":[39],"series":[41],"local":[43,67,74,88],"maps":[44,75],"with":[45,55],"projected":[46],"obstacles":[47],"areas.":[50],"Then,":[51],"deep":[53],"Q-network":[54],"long-short":[56],"term":[57],"memory":[58],"(LSTM)":[59],"structure,":[60],"ETPNet,":[61],"generate":[65],"piecewise":[66],"target":[68],"points":[69],"predicted":[73],"where":[76],"reward":[78],"function":[79],"designed":[81],"favor":[83],"shorter":[84],"length":[85],"path":[89],"and":[90],"larger":[91],"information":[92],"gain.":[93],"Experimental":[94],"results":[95],"demonstrate":[96],"that":[97],"achieves":[101],"good":[102],"performance":[103],"reducing":[105],"time.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
