{"id":"https://openalex.org/W4210750094","doi":"https://doi.org/10.1109/access.2022.3148127","title":"A Unifying View of Estimation and Control Using Belief Propagation With Application to Path Planning","display_name":"A Unifying View of Estimation and Control Using Belief Propagation With Application to Path Planning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210750094","doi":"https://doi.org/10.1109/access.2022.3148127"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3148127","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3148127","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09698186.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09698186.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082596053","display_name":"F. Palmieri","orcid":"https://orcid.org/0000-0003-3777-3501"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco A. N. Palmieri","raw_affiliation_strings":["Dipartimento di Ingegneria, Universit\u00e0 degli Studi della Campania Luigi Vanvitelli, Aversa CE, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria, Universit\u00e0 degli Studi della Campania Luigi Vanvitelli, Aversa CE, Italy","institution_ids":["https://openalex.org/I197809005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082001657","display_name":"Krishna R. Pattipati","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna R. Pattipati","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019933558","display_name":"Giovanni Di Gennaro","orcid":"https://orcid.org/0000-0001-9757-1712"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Di Gennaro","raw_affiliation_strings":["Dipartimento di Ingegneria, Universit\u00e0 degli Studi della Campania Luigi Vanvitelli, Aversa CE, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria, Universit\u00e0 degli Studi della Campania Luigi Vanvitelli, Aversa CE, Italy","institution_ids":["https://openalex.org/I197809005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009444829","display_name":"Giovanni Fioretti","orcid":"https://orcid.org/0000-0002-4889-8505"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Fioretti","raw_affiliation_strings":["Dipartimento di Ingegneria, Universit\u00e0 degli Studi della Campania Luigi Vanvitelli, Aversa CE, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria, Universit\u00e0 degli Studi della Campania Luigi Vanvitelli, Aversa CE, Italy","institution_ids":["https://openalex.org/I197809005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065500356","display_name":"Francesco Verolla","orcid":"https://orcid.org/0000-0003-0193-1950"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Verolla","raw_affiliation_strings":["Dipartimento di Ingegneria, Universit\u00e0 degli Studi della Campania Luigi Vanvitelli, Aversa CE, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria, Universit\u00e0 degli Studi della Campania Luigi Vanvitelli, Aversa CE, Italy","institution_ids":["https://openalex.org/I197809005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026870973","display_name":"Amedeo Buonanno","orcid":"https://orcid.org/0000-0003-3494-2648"},"institutions":[{"id":"https://openalex.org/I110120368","display_name":"National Agency for New Technologies, Energy and Sustainable Economic Development","ror":"https://ror.org/02an8es95","country_code":"IT","type":"government","lineage":["https://openalex.org/I110120368"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Amedeo Buonanno","raw_affiliation_strings":["Department of Energy Technologies and Renewable Energy Sources, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Portici, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Energy Technologies and Renewable Energy Sources, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Portici, Naples, Italy","institution_ids":["https://openalex.org/I110120368"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082596053"],"corresponding_institution_ids":["https://openalex.org/I197809005"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9432,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87794639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"15193","last_page":"15216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.994700014591217,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.994700014591217,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9878000020980835,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9866999983787537,"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":0.7518619298934937},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.7053836584091187},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5475415587425232},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.534054160118103},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5187573432922363},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.46698492765426636},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4650156795978546},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.452468603849411},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.4373599588871002},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4356299936771393},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3662930727005005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2748865485191345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1953500509262085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7518619298934937},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.7053836584091187},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5475415587425232},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.534054160118103},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5187573432922363},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.46698492765426636},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4650156795978546},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.452468603849411},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.4373599588871002},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4356299936771393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3662930727005005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2748865485191345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1953500509262085},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3148127","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3148127","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09698186.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:30f62047505745bfbed5012f37d01e96","is_oa":true,"landing_page_url":"https://doaj.org/article/30f62047505745bfbed5012f37d01e96","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 15193-15216 (2022)","raw_type":"article"},{"id":"pmh:oai:zenodo.org:142115","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/142115","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3148127","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3148127","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09698186.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2637195115","display_name":null,"funder_award_id":"4-18-1-","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2811237814","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2851778139","display_name":null,"funder_award_id":"N00173-16-1-G905","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2900065967","display_name":null,"funder_award_id":"HPCM034125HQU","funder_id":"https://openalex.org/F4320337628","funder_display_name":"U.S. Naval Research Laboratory"},{"id":"https://openalex.org/G3342569318","display_name":null,"funder_award_id":"2014/2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G4509230974","display_name":null,"funder_award_id":"N00014-18-1-1238","funder_id":"https://openalex.org/F4320337628","funder_display_name":"U.S. Naval Research Laboratory"},{"id":"https://openalex.org/G5441225618","display_name":null,"funder_award_id":"N00173-16-1-G905","funder_id":"https://openalex.org/F4320337628","funder_display_name":"U.S. Naval Research Laboratory"},{"id":"https://openalex.org/G5692399813","display_name":null,"funder_award_id":"N00014-18-1-1238","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G6159724559","display_name":null,"funder_award_id":"80NSSC19K1076","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G6561142798","display_name":null,"funder_award_id":"FESR 2014/2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G7540528452","display_name":null,"funder_award_id":"HPCM034125HQU","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320322037","display_name":"Nuclear Safety and Security Commission","ror":"https://ror.org/05qk3ge34"},{"id":"https://openalex.org/F4320328911","display_name":"Consorzio Nazionale Interuniversitario per le Telecomunicazioni","ror":"https://ror.org/0182a5n39"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320337628","display_name":"U.S. Naval Research Laboratory","ror":"https://ror.org/04d23a975"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210750094.pdf","grobid_xml":"https://content.openalex.org/works/W4210750094.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1511986666","https://openalex.org/W1590183771","https://openalex.org/W1633077209","https://openalex.org/W2045407304","https://openalex.org/W2052963087","https://openalex.org/W2101821104","https://openalex.org/W2107662876","https://openalex.org/W2123157758","https://openalex.org/W2139584447","https://openalex.org/W2148471172","https://openalex.org/W2150859678","https://openalex.org/W2155772159","https://openalex.org/W2293888355","https://openalex.org/W2336416123","https://openalex.org/W2413267929","https://openalex.org/W2573514974","https://openalex.org/W2617660370","https://openalex.org/W2775620293","https://openalex.org/W2781668895","https://openalex.org/W2790115023","https://openalex.org/W2799151646","https://openalex.org/W2889856402","https://openalex.org/W2901597764","https://openalex.org/W2909074583","https://openalex.org/W2950005233","https://openalex.org/W2963932186","https://openalex.org/W2976973594","https://openalex.org/W2979225831","https://openalex.org/W3120080479","https://openalex.org/W3153317535","https://openalex.org/W3163829518","https://openalex.org/W3183787066","https://openalex.org/W4214717370","https://openalex.org/W6681478256","https://openalex.org/W6713989974","https://openalex.org/W6725356764","https://openalex.org/W6731614154","https://openalex.org/W6750186571","https://openalex.org/W6769196198"],"related_works":["https://openalex.org/W3152713649","https://openalex.org/W3009052662","https://openalex.org/W26187695","https://openalex.org/W2122977448","https://openalex.org/W2124250880","https://openalex.org/W2114758843","https://openalex.org/W2150312244","https://openalex.org/W4301665663","https://openalex.org/W1981023414","https://openalex.org/W2143515091"],"abstract_inverted_index":{"The":[0,96,135],"use":[1,34],"of":[2,21,74,131,171],"estimation":[3],"techniques":[4],"on":[5,37,180,193],"stochastic":[6],"models":[7],"to":[8,40,105,142],"solve":[9],"control":[10],"problems":[11],"is":[12,137],"an":[13],"emerging":[14],"paradigm":[15],"that":[16,42,83,103,150],"falls":[17],"under":[18],"the":[19,47,75,85,87,132,148],"rubric":[20],"Active":[22],"Inference":[23,28],"(AI)":[24],"and":[25,71,91,127,174,191,204],"Control":[26],"as":[27,52],"(CAI).":[29],"In":[30],"this":[31,63],"work,":[32],"we":[33],"probability":[35,69,76],"propagation":[36],"factor":[38,58],"graphs":[39],"show":[41,61],"various":[43,153],"algorithms":[44],"proposed":[45],"in":[46,56,68,72,161],"literature":[48],"can":[49],"be":[50],"seen":[51],"specific":[53],"composition":[54,172],"rules":[55,173],"a":[57,79,118,122,128,143,168,175,181,186,194,198,205],"graph.":[59],"We":[60,112,166],"how":[62],"unified":[64],"approach,":[65],"presented":[66],"both":[67],"space":[70],"log":[73],"space,":[77],"provides":[78],"very":[80],"general":[81],"framework":[82,97],"includes":[84],"Sum-product,":[86],"Max-product,":[88],"Dynamic":[89,124],"programming":[90,125],"mixed":[92],"Reward/Entropy":[93,133],"criteria-based":[94],"algorithms.":[95],"also":[98],"expands":[99],"algorithmic":[100],"design":[101],"options":[102],"lead":[104],"new":[106],"smoother":[107],"or":[108],"sharper":[109],"policy":[110],"distributions.":[111],"propose":[113],"original":[114],"recursions":[115,149],"such":[116],"as:":[117],"generalized":[119],"Sum/Max-product":[120],"algorithm,":[121],"Smooth":[123],"algorithm":[126],"modified":[129],"versions":[130],"algorithm.":[134],"discussion":[136],"carried":[138],"over":[139],"with":[140,185,189,201],"reference":[141],"path":[144],"planning":[145],"problem":[146],"where":[147],"arise":[151],"from":[152,197],"cost":[154],"functions,":[155],"although":[156],"they":[157],"may":[158],"appear":[159],"similar":[160],"scope,":[162],"bear":[163],"noticeable":[164],"differences.":[165],"provide":[167],"comprehensive":[169],"table":[170],"comparison":[176],"through":[177],"simulations,":[178],"first":[179],"synthetic":[182],"small":[183],"grid":[184,195],"single":[187],"goal":[188],"obstacles,":[190],"then":[192],"extrapolated":[196],"real-world":[199],"scene":[200],"multiple":[202],"goals":[203],"semantic":[206],"map.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}