{"id":"https://openalex.org/W2124408954","doi":"https://doi.org/10.1109/iros.2008.4651133","title":"The application of particle swarm optimization and maneuver automatons during non-Markovian motion planning for air vehicles performing ground target search","display_name":"The application of particle swarm optimization and maneuver automatons during non-Markovian motion planning for air vehicles performing ground target search","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2124408954","doi":"https://doi.org/10.1109/iros.2008.4651133","mag":"2124408954"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2008.4651133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2008.4651133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103925431","display_name":"Sean R. Martin","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.R. Martin","raw_affiliation_strings":["Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, USA","Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, USA","institution_ids":["https://openalex.org/I2802946424"]},{"raw_affiliation_string":"Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD#TAB#","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001314980","display_name":"Andrew Newman","orcid":"https://orcid.org/0000-0003-0019-8363"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A.J. Newman","raw_affiliation_strings":["Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, USA","Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, USA","institution_ids":["https://openalex.org/I2802946424"]},{"raw_affiliation_string":"Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD#TAB#","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2605","last_page":"2610"},"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/T12158","display_name":"Guidance and Control Systems","score":0.9994000196456909,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.769798755645752},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.6697074770927429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6349793076515198},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5351045727729797},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.44319653511047363},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.4311729371547699},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4160165786743164},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37964609265327454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3679748773574829},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35419854521751404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26168879866600037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18784919381141663},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.13625499606132507}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.769798755645752},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6697074770927429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6349793076515198},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5351045727729797},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.44319653511047363},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.4311729371547699},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4160165786743164},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37964609265327454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3679748773574829},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35419854521751404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26168879866600037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18784919381141663},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.13625499606132507},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2008.4651133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2008.4651133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W184814775","https://openalex.org/W1587510056","https://openalex.org/W1594331830","https://openalex.org/W1978956894","https://openalex.org/W2069962544","https://openalex.org/W2097856935","https://openalex.org/W2108865925","https://openalex.org/W2127348787","https://openalex.org/W2128582898","https://openalex.org/W2129078811","https://openalex.org/W2131613989","https://openalex.org/W2133180954","https://openalex.org/W2140826184","https://openalex.org/W2149562960","https://openalex.org/W2151554678","https://openalex.org/W2152195021","https://openalex.org/W2167894932","https://openalex.org/W2320438893","https://openalex.org/W2337480916","https://openalex.org/W2341171179","https://openalex.org/W2370943119","https://openalex.org/W2828451641","https://openalex.org/W6607527451","https://openalex.org/W6679148374","https://openalex.org/W6684774734"],"related_works":["https://openalex.org/W4288714711","https://openalex.org/W3200708550","https://openalex.org/W2736680465","https://openalex.org/W2133833450","https://openalex.org/W1567439243","https://openalex.org/W1993731165","https://openalex.org/W2095860056","https://openalex.org/W2742871814","https://openalex.org/W2134216493","https://openalex.org/W2802778578"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,23,51,59,65,85,131],"centralized":[4],"receding":[5],"discrete":[6,92],"time":[7],"horizon":[8],"controller":[9,48],"for":[10,25],"use":[11,129],"in":[12,54],"cooperative":[13],"high":[14],"level":[15],"unmanned":[16],"air":[17],"vehicle":[18,82],"(UAV)":[19],"motion":[20],"planning":[21],"during":[22],"search":[24],"land":[26],"based":[27,89],"targets":[28],"over":[29],"large":[30],"ground":[31,93],"regions":[32,94],"with":[33,124],"sensor":[34],"occlusions.":[35],"Due":[36],"to":[37,70,80,110,121],"the":[38,47,55,102,116,128],"non-Markovian,":[39],"dynamic,":[40],"multimodal,":[41],"and":[42,84,118],"discontinuous":[43],"objective":[44,99],"function":[45],"employed,":[46],"presented":[49],"uses":[50],"stochastic":[52],"optimizer":[53,62],"form":[56],"of":[57,91,130],"either":[58],"particle":[60],"swarm":[61],"(PSO)":[63],"or":[64],"comprehensive":[66],"learning":[67],"PSO":[68,105,117],"(CLPSO)":[69],"calculate":[71],"UAV":[72],"routes.":[73],"A":[74],"hybrid":[75],"maneuver":[76],"automaton":[77],"is":[78,95,108],"applied":[79],"model":[81,90],"dynamics":[83],"Fisher":[86],"information":[87],"theory":[88],"used":[96],"as":[97],"an":[98],"function.":[100],"Finally,":[101],"non-Markovian":[103,125],"process":[104],"(NMPPSO)":[106],"algorithm":[107],"introduced":[109],"achieve":[111],"better":[112],"performance":[113],"by":[114],"customizing":[115],"its":[119],"variants":[120],"decision":[122],"processes":[123],"reward":[126],"through":[127],"suffix":[132],"trie.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
