{"id":"https://openalex.org/W4406521590","doi":"https://doi.org/10.1109/lra.2025.3531765","title":"Hierarchy Coverage Path Planning With Proactive Extremum Prevention in Unknown Environments","display_name":"Hierarchy Coverage Path Planning With Proactive Extremum Prevention in Unknown Environments","publication_year":2025,"publication_date":"2025-01-17","ids":{"openalex":"https://openalex.org/W4406521590","doi":"https://doi.org/10.1109/lra.2025.3531765"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2025.3531765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3531765","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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":null,"display_name":"Lin Li","orcid":"https://orcid.org/0000-0001-8645-0392"},"institutions":[{"id":"https://openalex.org/I916048824","display_name":"Hunan First Normal University","ror":"https://ror.org/00s9d1a36","country_code":"CN","type":"education","lineage":["https://openalex.org/I916048824"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Li","raw_affiliation_strings":["School of Intelligent Manufacturing, Hunan First Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-8645-0392","affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Hunan First Normal University, Changsha, China","institution_ids":["https://openalex.org/I916048824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019758816","display_name":"Dianxi Shi","orcid":"https://orcid.org/0000-0002-8112-371X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dianxi Shi","raw_affiliation_strings":["Academy of Military Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8112-371X","affiliations":[{"raw_affiliation_string":"Academy of Military Sciences, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707142","display_name":"Songchang Jin","orcid":"https://orcid.org/0000-0002-5959-0768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Songchang Jin","raw_affiliation_strings":["Intelligent Game and Decision Lab, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5959-0768","affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101851239","display_name":"Xing Zhou","orcid":"https://orcid.org/0000-0001-6358-1621"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Zhou","raw_affiliation_strings":["College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6358-1621","affiliations":[{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445695","display_name":"Yahui Li","orcid":"https://orcid.org/0000-0003-4986-0629"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yahui Li","raw_affiliation_strings":["Intelligent Game and Decision Lab, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101978553","display_name":"Bin Bai","orcid":"https://orcid.org/0000-0001-6033-7578"},"institutions":[{"id":"https://openalex.org/I916048824","display_name":"Hunan First Normal University","ror":"https://ror.org/00s9d1a36","country_code":"CN","type":"education","lineage":["https://openalex.org/I916048824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Bai","raw_affiliation_strings":["School of Intelligent Manufacturing, Hunan First Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6033-7578","affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Hunan First Normal University, Changsha, China","institution_ids":["https://openalex.org/I916048824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I916048824"],"apc_list":null,"apc_paid":null,"fwci":2.0303,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84496746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"10","issue":"4","first_page":"3358","last_page":"3365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9993000030517578,"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":0.9993000030517578,"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/T12158","display_name":"Guidance and Control Systems","score":0.9898999929428101,"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/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.9713000059127808,"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/hierarchy","display_name":"Hierarchy","score":0.798046350479126},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5285448431968689},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5182849764823914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5152835845947266},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.33487996459007263},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3322433531284332},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2715896666049957},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.21037378907203674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20744967460632324},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.20685511827468872},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08510494232177734}],"concepts":[{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.798046350479126},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5285448431968689},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5182849764823914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5152835845947266},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.33487996459007263},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3322433531284332},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2715896666049957},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.21037378907203674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20744967460632324},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.20685511827468872},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08510494232177734},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2025.3531765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3531765","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7763311295","display_name":null,"funder_award_id":"62306325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8936065553","display_name":null,"funder_award_id":"91948303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1997872704","https://openalex.org/W2020957543","https://openalex.org/W2075597182","https://openalex.org/W2093284501","https://openalex.org/W2103296723","https://openalex.org/W2121866178","https://openalex.org/W2130422193","https://openalex.org/W2738842532","https://openalex.org/W2774251627","https://openalex.org/W2774451424","https://openalex.org/W2790223694","https://openalex.org/W2890176466","https://openalex.org/W2890332809","https://openalex.org/W2906764419","https://openalex.org/W2949613486","https://openalex.org/W2949845527","https://openalex.org/W2950752390","https://openalex.org/W2981762858","https://openalex.org/W3001427233","https://openalex.org/W3002336439","https://openalex.org/W3006821066","https://openalex.org/W3125164440","https://openalex.org/W3142077573","https://openalex.org/W3197167612","https://openalex.org/W3206197245","https://openalex.org/W4378804834","https://openalex.org/W4381156440","https://openalex.org/W4383172030","https://openalex.org/W6676388466","https://openalex.org/W6684549237","https://openalex.org/W6762395175"],"related_works":["https://openalex.org/W2365264209","https://openalex.org/W962203960","https://openalex.org/W1974084518","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1987886368","https://openalex.org/W1660309994","https://openalex.org/W2369187583","https://openalex.org/W3197207153"],"abstract_inverted_index":{"The":[0,118],"local":[1,41,83,107,112,149],"extremum":[2,55,150],"is":[3],"a":[4,46,67,74,86,104,131],"crucial":[5],"factor":[6],"that":[7,141],"affects":[8],"the":[9,92,96,99,111,148],"efficiency":[10],"of":[11,76,78,98,120],"online":[12,18],"coverage":[13,22,36,48,60,64,80,144],"path":[14,49],"planning":[15,50,69,72,84],"(CPP).":[16],"Most":[17],"CPP":[19],"methods":[20],"generate":[21],"motions":[23,65],"point":[24,26],"by":[25,115,124,146],"in":[27,40,66,130],"unknown":[28],"environments.":[29],"However,":[30],"these":[31],"solutions":[32],"ignore":[33],"efficient":[34],"global":[35,105],"and":[37,62,82,106,127],"probably":[38],"result":[39],"extremum.":[42],"This":[43],"letter":[44],"presents":[45],"hierarchy":[47],"approach":[51],"(HCPP)":[52],"with":[53],"proactive":[54],"prevention.":[56],"HCPP":[57,109,121,142],"incrementally":[58],"generates":[59,73],"tasks":[61],"produces":[63],"global-to-local":[68],"manner.":[70],"Global":[71],"sequence":[75],"traversals":[77],"all":[79],"tasks,":[81],"provides":[85],"route":[87],"from":[88,102],"one":[89],"task":[90],"to":[91],"next.":[93],"By":[94],"maintaining":[95],"connectivity":[97],"uncovered":[100],"area":[101],"both":[103],"perspective,":[108],"avoids":[110],"extremums":[113],"caused":[114],"separate":[116],"areas.":[117],"effectiveness":[119],"was":[122],"confirmed":[123],"multiple":[125],"simulations":[126],"physical":[128],"experiments":[129],"laboratory":[132],"setting":[133],"on":[134],"an":[135],"Akerman":[136],"robot.":[137],"Experimental":[138],"results":[139],"indicate":[140],"reduces":[143],"times":[145],"preventing":[147],"while":[151],"achieving":[152],"complete":[153],"coverage.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
