{"id":"https://openalex.org/W1989991579","doi":"https://doi.org/10.1109/tvlsi.2013.2297056","title":"A Neuromorphic Approach to Path Planning Using a Reconfigurable Neuron Array IC","display_name":"A Neuromorphic Approach to Path Planning Using a Reconfigurable Neuron Array IC","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W1989991579","doi":"https://doi.org/10.1109/tvlsi.2013.2297056","mag":"1989991579"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2013.2297056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2013.2297056","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Transactions on Very Large Scale Integration (VLSI) Systems","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":"https://openalex.org/A5027034406","display_name":"Scott Koziol","orcid":"https://orcid.org/0000-0002-5510-294X"},"institutions":[{"id":"https://openalex.org/I157394403","display_name":"Baylor University","ror":"https://ror.org/005781934","country_code":"US","type":"education","lineage":["https://openalex.org/I157394403"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Scott Koziol","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Baylor University, Waco, TX, USA","Department of Electrical and Computer Engineering, Baylor University, Waco, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Baylor University, Waco, TX, USA","institution_ids":["https://openalex.org/I157394403"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Baylor University, Waco, TX, USA#TAB#","institution_ids":["https://openalex.org/I157394403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007273807","display_name":"Stephen Brink","orcid":null},"institutions":[{"id":"https://openalex.org/I74760111","display_name":"Texas Instruments (United States)","ror":"https://ror.org/03vsmv677","country_code":"US","type":"company","lineage":["https://openalex.org/I74760111"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Brink","raw_affiliation_strings":["Texas Instruments Inc., Manchester, NH, USA","[Texas Instruments, Inc., Manchester, NH, USA]"],"affiliations":[{"raw_affiliation_string":"Texas Instruments Inc., Manchester, NH, USA","institution_ids":["https://openalex.org/I74760111"]},{"raw_affiliation_string":"[Texas Instruments, Inc., Manchester, NH, USA]","institution_ids":["https://openalex.org/I74760111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073433071","display_name":"Jennifer Hasler","orcid":"https://orcid.org/0000-0002-6866-3156"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Hasler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027034406"],"corresponding_institution_ids":["https://openalex.org/I157394403"],"apc_list":null,"apc_paid":null,"fwci":2.6826,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.91933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"12","first_page":"2724","last_page":"2737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991999864578247,"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":0.9991999864578247,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7901495695114136},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6251866817474365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6183067560195923},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6141266822814941},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5102882385253906},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4723709225654602},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4163416624069214},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.359041690826416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34644973278045654},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30011624097824097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.271803617477417},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.23979640007019043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1864892840385437},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1758255958557129}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7901495695114136},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6251866817474365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6183067560195923},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6141266822814941},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5102882385253906},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4723709225654602},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4163416624069214},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.359041690826416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34644973278045654},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30011624097824097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.271803617477417},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.23979640007019043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1864892840385437},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1758255958557129},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2013.2297056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2013.2297056","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1424654272","https://openalex.org/W1555623254","https://openalex.org/W1578671836","https://openalex.org/W1582236316","https://openalex.org/W1967524458","https://openalex.org/W1967857195","https://openalex.org/W1971175520","https://openalex.org/W1973394072","https://openalex.org/W1973734421","https://openalex.org/W1974204180","https://openalex.org/W1977976974","https://openalex.org/W1978301848","https://openalex.org/W1984505032","https://openalex.org/W1989723858","https://openalex.org/W1995839907","https://openalex.org/W2019005300","https://openalex.org/W2019586060","https://openalex.org/W2049261195","https://openalex.org/W2051626883","https://openalex.org/W2051645187","https://openalex.org/W2060794637","https://openalex.org/W2078878966","https://openalex.org/W2085637798","https://openalex.org/W2086113266","https://openalex.org/W2098055994","https://openalex.org/W2099836898","https://openalex.org/W2110043490","https://openalex.org/W2118249063","https://openalex.org/W2122494694","https://openalex.org/W2128924226","https://openalex.org/W2138674422","https://openalex.org/W2140886546","https://openalex.org/W2152671236","https://openalex.org/W2158712450","https://openalex.org/W2505290794","https://openalex.org/W2542164161","https://openalex.org/W2623293810","https://openalex.org/W4229669924","https://openalex.org/W4242811155","https://openalex.org/W4243832265","https://openalex.org/W4250168438","https://openalex.org/W4253376055","https://openalex.org/W4254019281","https://openalex.org/W6642861664","https://openalex.org/W6682378734"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4387251107","https://openalex.org/W4214914769","https://openalex.org/W4283271085","https://openalex.org/W3033201189"],"abstract_inverted_index":{"This":[0,192,208],"paper":[1,79],"presents":[2],"hardware":[3],"results":[4,24,228],"for":[5,33,80,231],"a":[6,13,34,56,81,132,137,143,203],"neuromorphic":[7],"approach":[8],"to":[9,103,127,135,146,163,188,197,215],"path":[10,52,138,150],"planning":[11,53],"using":[12],"neuron":[14,44,48,82,99],"array":[15],"integrated":[16,49],"circuit.":[17],"The":[18,98,156],"algorithm":[19],"is":[20,193],"explained":[21],"and":[22,30,71,85,93,171],"experimental":[23,90],"are":[25,75,87,95,119,125,176,184,229],"presented":[26,177,230],"showing":[27],"100%":[28],"correct":[29],"optimal":[31],"performance":[32],"large":[35],"number":[36],"of":[37,113,158],"randomized":[38],"maze":[39],"environment":[40],"scenarios.":[41],"Based":[42],"on":[43,64],"signal":[45],"propagation":[46],"speed,":[47],"circuit":[50],"(IC)":[51],"may":[54],"offer":[55],"computational":[57],"advantage":[58],"over":[59],"state-of-the-art":[60],"wavefront":[61],"planners":[62],"implemented":[63],"field-programmable":[65],"gate":[66],"arrays":[67],"(FPGAs).":[68],"Analytical":[69],"time":[70],"space":[72],"complexity":[73],"metrics":[74],"developed":[76],"in":[77,139,152,194],"this":[78,159],"ICs":[83],"planner,":[84],"these":[86,190],"verified":[88],"against":[89],"data.":[91],"Optimality":[92],"completeness":[94],"also":[96,212],"addressed.":[97],"structure":[100],"allows":[101],"one":[102,140],"develop":[104],"sophisticated":[105],"graphs":[106],"with":[107],"varied":[108],"edge":[109,123],"weights":[110],"between":[111],"nodes":[112,180],"the":[114,148,153,179,199],"grid.":[115],"Two":[116],"interesting":[117],"cases":[118,175],"presented.":[120],"First,":[121],"asymmetric":[122],"costs":[124,187],"assigned":[126],"describe":[128],"cases,":[129],"which":[130],"have":[131],"certain":[133],"cost":[134,145],"travel":[136,147],"direction,":[141],"but":[142,151],"different":[144],"same":[149],"opposite":[154],"direction.":[155],"application":[157],"feature":[160],"can":[161,211],"translate":[162],"real":[164],"world":[165],"problems":[166],"involving":[167],"hills,":[168],"traffic":[169],"patterns,":[170],"so":[172],"forth.":[173],"Second,":[174],"where":[178],"near":[181],"an":[182,195],"obstacle":[183],"given":[185],"higher":[186],"visit":[189],"nodes.":[191],"effort":[196],"keep":[198],"autonomous":[200],"agent":[201],"at":[202],"safe":[204],"distance":[205],"from":[206],"obstacles.":[207],"grid":[209],"weighting":[210],"be":[213],"used":[214],"differentiate":[216],"among":[217],"terrains":[218],"such":[219],"as":[220],"sand,":[221],"ice,":[222],"gravel,":[223],"or":[224],"smooth":[225],"pavement.":[226],"Experimental":[227],"both":[232],"cases.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
