{"id":"https://openalex.org/W2124662262","doi":"https://doi.org/10.1109/robot.1987.1088051","title":"Object-based process planning in automatic manufacturing environments","display_name":"Object-based process planning in automatic manufacturing environments","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W2124662262","doi":"https://doi.org/10.1109/robot.1987.1088051","mag":"2124662262"},"language":"en","primary_location":{"id":"doi:10.1109/robot.1987.1088051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1987.1088051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 1987 IEEE International Conference on Robotics and Automation","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/A5076927567","display_name":"Phillip C.\u2010Y. Sheu","orcid":"https://orcid.org/0000-0003-2036-850X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Sheu","raw_affiliation_strings":["School of Electrical Engineering, Purdue University, West Lafayette, IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063663404","display_name":"R.L. Kashyap","orcid":"https://orcid.org/0000-0003-4426-6575"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Kashyap","raw_affiliation_strings":["School of Electrical Engineering, Purdue University, West Lafayette, IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.27068388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"435","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.998199999332428,"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":0.998199999332428,"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":0.9954000115394592,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7671247124671936},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6347646713256836},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6252169013023376},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5820911526679993},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5321376323699951},{"id":"https://openalex.org/keywords/analogy","display_name":"Analogy","score":0.45501863956451416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41854605078697205},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.38417792320251465},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3652963638305664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7671247124671936},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6347646713256836},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6252169013023376},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5820911526679993},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5321376323699951},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.45501863956451416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41854605078697205},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.38417792320251465},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3652963638305664},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robot.1987.1088051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1987.1088051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 1987 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W62600334","https://openalex.org/W1482460657","https://openalex.org/W1537671074","https://openalex.org/W1592472943","https://openalex.org/W1770006921","https://openalex.org/W1833456100","https://openalex.org/W1968833464","https://openalex.org/W1987377478","https://openalex.org/W2008395018","https://openalex.org/W2054873730","https://openalex.org/W2060468294","https://openalex.org/W2077160015","https://openalex.org/W2115164315","https://openalex.org/W2135851742","https://openalex.org/W2147121149","https://openalex.org/W2159525276","https://openalex.org/W2175268987","https://openalex.org/W2294089271","https://openalex.org/W2327079635","https://openalex.org/W2977904728","https://openalex.org/W3012173924","https://openalex.org/W4232983740","https://openalex.org/W4245349101","https://openalex.org/W4252387763","https://openalex.org/W6602535487"],"related_works":["https://openalex.org/W2392206215","https://openalex.org/W2365201483","https://openalex.org/W2355561779","https://openalex.org/W2352407775","https://openalex.org/W2186567693","https://openalex.org/W108701362","https://openalex.org/W2469799552","https://openalex.org/W2768582344","https://openalex.org/W2615704157","https://openalex.org/W2295191347"],"abstract_inverted_index":{"At":[0,29],"the":[1,20,25,30,48,63,92,102,109,130,135,151,178],"very":[2,80,112],"abstract":[3],"level,":[4],"generative":[5],"process":[6,21,103],"planning":[7,12,22,27,75,104],"is":[8,50,106,137],"like":[9],"any":[10],"other":[11,133],"problem.":[13,28],"An":[14],"analogy":[15],"can":[16,69,126,157],"be":[17,39,70,99,127,148,158],"drawn":[18],"between":[19],"problem":[23],"and":[24,41,47,96,166],"robot":[26,93],"top":[31],"there":[32],"are":[33,79],"a":[34,42,57,122],"set":[35,43,65],"of":[36,44,59,66,180],"goals":[37],"to":[38,61,82,90,101,107,120,129,139,149,162,169,184],"achieved":[40],"operations":[45,60],"available,":[46],"computer":[49,136],"asked":[51],"to,":[52],"starting":[53],"from":[54],"scratch,":[55],"synthesize":[56],"sequence":[58],"achieve":[62,121,185],"given":[64],"goals.":[67],"It":[68],"shown":[71],"that":[72,86,118,155],"conjunctive":[73],"goal":[74],"problems":[76],"in":[77,141],"general":[78],"diffcult":[81],"solve.":[83],"One":[84],"remedy":[85,146],"has":[87],"been":[88],"proposed":[89],"solve":[91],"programming":[94,115],"problem,":[95,105],"apparently":[97],"could":[98],"applied":[100],"provide":[108],"users":[110],"with":[111],"high":[113,123],"level":[114,124],"languages":[116],"such":[117,154],"details":[119],"operation":[125],"transparent":[128],"users.":[131],"In":[132,173],"words,":[134],"used":[138],"fill":[140],"low-level":[142],"details.":[143],"Another":[144],"possible":[145],"would":[147],"generalize":[150],"family":[152],"concept":[153],"families":[156],"defined":[159],"precisely":[160],"enough":[161,168],"eliminate":[163],"human":[164],"modification":[165],"broad":[167],"include":[170],"most":[171],"variations.":[172],"this":[174],"paper":[175],"we":[176],"purpose":[177],"framework":[179],"object-oriented":[181],"knowledge":[182],"base":[183],"these":[186],"functions.":[187]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
