{"id":"https://openalex.org/W4402351274","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651494","title":"Optimal path planning based on goal heuristics IQLA for mobile robots","display_name":"Optimal path planning based on goal heuristics IQLA for mobile robots","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351274","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651494"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651494","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5072693668","display_name":"Tianfeng Zhou","orcid":"https://orcid.org/0000-0003-0846-8647"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfeng Zhou","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101603927","display_name":"Qingxia Li","orcid":"https://orcid.org/0009-0007-8514-2209"},"institutions":[{"id":"https://openalex.org/I4210124427","display_name":"City College of Dongguan University of Technology","ror":"https://ror.org/02vdh2x09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029","https://openalex.org/I4210124427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxia Li","raw_affiliation_strings":["Dongguan City University,School of Artificial Intelligence,Dongguan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan City University,School of Artificial Intelligence,Dongguan,China","institution_ids":["https://openalex.org/I4210124427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062578677","display_name":"Wenhong Wei","orcid":"https://orcid.org/0000-0002-0881-459X"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhong Wei","raw_affiliation_strings":["Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,School of Computer Science and Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13155266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":null,"first_page":"1","last_page":"8"},"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/T13382","display_name":"Robotics and Automated Systems","score":0.984499990940094,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9811999797821045,"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/computer-science","display_name":"Computer science","score":0.7293957471847534},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.691474974155426},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6741809844970703},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6476476192474365},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5415573120117188},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4297698736190796},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3409901261329651},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33433812856674194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2748270630836487},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09964656829833984},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06490066647529602}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293957471847534},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.691474974155426},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6741809844970703},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6476476192474365},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5415573120117188},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4297698736190796},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3409901261329651},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33433812856674194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2748270630836487},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09964656829833984},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06490066647529602}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651494","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W135651235","https://openalex.org/W797950765","https://openalex.org/W1935926926","https://openalex.org/W2142091770","https://openalex.org/W2151340488","https://openalex.org/W2158969944","https://openalex.org/W2515498963","https://openalex.org/W2895647709","https://openalex.org/W2917089854","https://openalex.org/W2973184394","https://openalex.org/W2990310893","https://openalex.org/W2995249706","https://openalex.org/W2996438776","https://openalex.org/W2999490101","https://openalex.org/W3003100621","https://openalex.org/W3003181898","https://openalex.org/W3012066402","https://openalex.org/W3044457827","https://openalex.org/W3092927864","https://openalex.org/W3116030074","https://openalex.org/W3118560987","https://openalex.org/W3173644611","https://openalex.org/W3206322063","https://openalex.org/W4200098939","https://openalex.org/W4224255042","https://openalex.org/W4286496598","https://openalex.org/W4367665998","https://openalex.org/W4385151905","https://openalex.org/W6605295560"],"related_works":["https://openalex.org/W2122871747","https://openalex.org/W1904098742","https://openalex.org/W3158921809","https://openalex.org/W3114279067","https://openalex.org/W2161428574","https://openalex.org/W2077416514","https://openalex.org/W2618632915","https://openalex.org/W2359600231","https://openalex.org/W4292862729","https://openalex.org/W2380019117"],"abstract_inverted_index":{"Path":[0],"planning":[1,29,54,193],"is":[2,14,24,82,114,139,156],"an":[3,68,86,110,134],"indispensable":[4],"part":[5],"of":[6,9,17,46,51,59,106,128,145,182],"the":[7,44,57,73,90,94,100,104,107,118,124,129,143,146,149,159,167,173,178,183],"application":[8],"intelligent":[10,95],"mobile":[11,40,60,190],"robots.":[12],"Q-learning":[13,38,70,160],"a":[15,26,78],"type":[16],"reinforcement":[18],"learning":[19],"without":[20],"prior":[21],"knowledge":[22],"and":[23,48,126,162,180,196],"currently":[25],"popular":[27],"path":[28,42,53,192],"method.":[30],"Although":[31],"there":[32],"are":[33],"numerous":[34],"research":[35],"articles":[36],"on":[37,89],"for":[39,102,189],"robot":[41,61,191],"planning,":[43],"difficulties":[45],"stability":[47],"convergence":[49,105,144],"speed":[50],"its":[52],"can":[55],"hinder":[56],"effectiveness":[58,181],"applications":[62],"in":[63],"reality.":[64],"This":[65,175],"paper":[66,176],"presents":[67],"improved":[69],"algorithm":[71,75,168,185],"incorporating":[72],"A*":[74,150],"(IQLA).":[76],"First,":[77],"goal":[79],"heuristic":[80,151],"function":[81,153],"introduced":[83],"to":[84,97,116,141,165,169,172],"perform":[85],"initialisation":[87],"operation":[88],"Q-table,":[91],"which":[92,122],"guides":[93],"body":[96],"move":[98],"toward":[99],"target":[101],"accelerating":[103],"algorithm.":[108,147],"Second,":[109],"adaptive":[111,135],"exploration":[112,125],"factor":[113],"proposed":[115,140],"improve":[117],"action":[119],"selection":[120],"strategy,":[121],"balances":[123],"exploitation":[127],"environment":[130],"via":[131],"intelligence.":[132],"Furthermore,":[133],"distance":[136],"search":[137],"range":[138],"accelerate":[142],"Finally,":[148],"evaluation":[152],"with":[154],"weights":[155],"incorporated":[157],"into":[158],"reward":[161],"punishment":[163],"functions":[164],"guide":[166],"quickly":[170],"converge":[171],"optimum.":[174],"validates":[177],"performance":[179],"IQLA":[184],"over":[186],"comparison":[187,197],"algorithms":[188],"through":[194],"simulation":[195],"experiments.":[198]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}