{"id":"https://openalex.org/W2140802914","doi":"https://doi.org/10.1109/ijcnn.1990.137557","title":"Neural computation for planning AND/OR precedence-constraint robot assembly sequences","display_name":"Neural computation for planning AND/OR precedence-constraint robot assembly sequences","publication_year":1990,"publication_date":"1990-01-01","ids":{"openalex":"https://openalex.org/W2140802914","doi":"https://doi.org/10.1109/ijcnn.1990.137557","mag":"2140802914"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.1990.137557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1990.137557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1990 IJCNN International Joint Conference on Neural Networks","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/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C.L.P. Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Wright State University, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100643265"],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":1.1079,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82169468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"142 vol.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10653","display_name":"Robot Manipulation and Learning","score":0.9955000281333923,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/constraint","display_name":"Constraint (computer-aided design)","score":0.7295212745666504},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6435883045196533},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.6303300857543945},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5883046388626099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5760964751243591},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5265158414840698},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5187254548072815},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5142583250999451},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4879917502403259},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4629021883010864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.448306679725647},{"id":"https://openalex.org/keywords/constraint-graph","display_name":"Constraint graph","score":0.43515267968177795},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4319683909416199},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42578360438346863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37674540281295776},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3574358820915222},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.3402571678161621},{"id":"https://openalex.org/keywords/constraint-satisfaction-problem","display_name":"Constraint satisfaction problem","score":0.3010164201259613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20970001816749573},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14905211329460144}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7295212745666504},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6435883045196533},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.6303300857543945},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5883046388626099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5760964751243591},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5265158414840698},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5187254548072815},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5142583250999451},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4879917502403259},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4629021883010864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.448306679725647},{"id":"https://openalex.org/C178481205","wikidata":"https://www.wikidata.org/wiki/Q5164372","display_name":"Constraint graph","level":5,"score":0.43515267968177795},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4319683909416199},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42578360438346863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37674540281295776},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3574358820915222},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.3402571678161621},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.3010164201259613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20970001816749573},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14905211329460144},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.1990.137557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1990.137557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1990 IJCNN International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6499999761581421,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1585458578","https://openalex.org/W1597286183","https://openalex.org/W1621234816","https://openalex.org/W1988006005","https://openalex.org/W2010863474","https://openalex.org/W2015122198","https://openalex.org/W2022888359","https://openalex.org/W2087186793","https://openalex.org/W2128084896","https://openalex.org/W2147897579","https://openalex.org/W2167257108"],"related_works":["https://openalex.org/W2032348095","https://openalex.org/W2737098235","https://openalex.org/W115413730","https://openalex.org/W1486916474","https://openalex.org/W2141935412","https://openalex.org/W2569549435","https://openalex.org/W2091348864","https://openalex.org/W2044707813","https://openalex.org/W2784687883","https://openalex.org/W3195880842"],"abstract_inverted_index":{"The":[0,26,62],"problem":[1],"of":[2,11,29,38],"finding":[3],"AND/OR":[4,58],"precedence-constraint":[5,59],"assembly":[6],"sequences":[7],"for":[8],"a":[9,18],"set":[10],"<e1":[12],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[13],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</e1>":[14],"parts":[15],"that":[16],"construct":[17],"mechanical":[19],"object":[20,32],"using":[21],"neural":[22],"computation":[23],"is":[24,53],"discussed.":[25],"geometric":[27],"constraints":[28,68],"the":[30,36,39,44,57],"assembled":[31],"are":[33,79],"transformed":[34],"into":[35],"elements":[37],"connection":[40,45],"matrix":[41],"which":[42],"specifies":[43],"strength":[46],"among":[47],"neurons.":[48],"A":[49],"modified":[50],"Hopfield":[51],"network":[52],"used":[54],"to":[55],"tackle":[56],"assembly-sequence":[60],"problem.":[61],"designed":[63],"algorithm":[64],"can":[65],"accommodate":[66],"various":[67],"and":[69,73,75,77],"applications.":[70],"Detailed":[71],"algorithms":[72],"analysis,":[74],"examples":[76],"experiments":[78],"presented":[80]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
