{"id":"https://openalex.org/W3196773940","doi":"https://doi.org/10.1109/rcar52367.2021.9517353","title":"A robot assembly framework with \u201cperception-action\u201d mapping cognitive learning","display_name":"A robot assembly framework with \u201cperception-action\u201d mapping cognitive learning","publication_year":2021,"publication_date":"2021-07-15","ids":{"openalex":"https://openalex.org/W3196773940","doi":"https://doi.org/10.1109/rcar52367.2021.9517353","mag":"3196773940"},"language":"en","primary_location":{"id":"doi:10.1109/rcar52367.2021.9517353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5075777899","display_name":"Fengming Li","orcid":"https://orcid.org/0000-0003-2263-1957"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengming Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765987","display_name":"Tianyu Fu","orcid":"https://orcid.org/0000-0002-5441-9750"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Fu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029551952","display_name":"Guoqin Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqin Chu","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113852285","display_name":"Rui Song","orcid":"https://orcid.org/0000-0002-4119-4433"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Song","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100724411","display_name":"Yibin Li","orcid":"https://orcid.org/0000-0002-5906-5074"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibin Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075777899"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11437754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"pp","issue":null,"first_page":"596","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9997000098228455,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.987500011920929,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9713000059127808,"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":0.691006600856781},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6156839728355408},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6144586205482483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5565546751022339},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5539636611938477},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5023238658905029},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4929037094116211},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.46870583295822144},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.4609551727771759},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45608043670654297},{"id":"https://openalex.org/keywords/cognitive-robotics","display_name":"Cognitive robotics","score":0.43636494874954224},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.42824018001556396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33865082263946533},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.21756663918495178},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16486015915870667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.691006600856781},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6156839728355408},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6144586205482483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565546751022339},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5539636611938477},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5023238658905029},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4929037094116211},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.46870583295822144},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.4609551727771759},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45608043670654297},{"id":"https://openalex.org/C192327766","wikidata":"https://www.wikidata.org/wiki/Q1038799","display_name":"Cognitive robotics","level":3,"score":0.43636494874954224},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.42824018001556396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33865082263946533},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.21756663918495178},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16486015915870667},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar52367.2021.9517353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/W92261402","https://openalex.org/W1762087831","https://openalex.org/W1944915053","https://openalex.org/W1966487689","https://openalex.org/W1970088130","https://openalex.org/W1973436390","https://openalex.org/W1977174726","https://openalex.org/W1981928056","https://openalex.org/W2008731016","https://openalex.org/W2050808628","https://openalex.org/W2077457254","https://openalex.org/W2085728426","https://openalex.org/W2097514092","https://openalex.org/W2098442959","https://openalex.org/W2119853207","https://openalex.org/W2135726043","https://openalex.org/W2154491775","https://openalex.org/W2181005280","https://openalex.org/W2553722312","https://openalex.org/W2588423609","https://openalex.org/W2745912081","https://openalex.org/W2889324057","https://openalex.org/W2894889845","https://openalex.org/W3006082040","https://openalex.org/W6640799848"],"related_works":["https://openalex.org/W8302103","https://openalex.org/W3171631314","https://openalex.org/W1521672401","https://openalex.org/W2606825221","https://openalex.org/W2064245428","https://openalex.org/W2913184176","https://openalex.org/W92815668","https://openalex.org/W196519796","https://openalex.org/W2065963568","https://openalex.org/W3111732155"],"abstract_inverted_index":{"The":[0,11,45,130,143,161,178],"assembly":[1,13,35,91,128,196],"process":[2,14],"is":[3,51,60,78,120,141,166],"a":[4,19,97,112],"motion":[5,41],"constrained":[6],"by":[7,168],"geometry":[8],"and":[9,42,65,76,127,146,152,201],"environment.":[10],"whole":[12],"can":[15,190],"be":[16],"described":[17],"as":[18,38],"series":[20],"of":[21,74,85,90,99,116,134,137,163,171,195],"transitions":[22],"between":[23],"contact":[24,48,124,149,193],"states.":[25],"There":[26],"are":[27,102],"many":[28],"uncertain":[29],"factors":[30],"in":[31,159,206],"the":[32,69,72,82,88,94,106,148,154,164,169,182,192],"actual":[33],"robot":[34,40,144],"environment,":[36],"such":[37],"parts,":[39],"sensor":[43],"information.":[44],"method":[46,73,185],"with":[47],"state":[49,63,86,125,150,194],"recognition":[50,64,83,126],"widely":[52],"used":[53,79,103],"for":[54,62],"assembly.":[55,177],"At":[56],"present,":[57],"most":[58],"work":[59],"independent":[61],"action":[66,139],"execution.":[67],"On":[68,93],"one":[70],"hand,":[71,96],"analysis":[75],"statistics":[77],"to":[80,104],"improve":[81,105],"rate":[84],"without":[87],"execution":[89],"action.":[92,129],"other":[95],"variety":[98],"optimization":[100],"methods":[101],"control":[107],"strategy.":[108],"In":[109],"this":[110],"paper,":[111],"cognitive":[113,131,183],"learning":[114,119,132,184],"framework":[115],"\u201cperception-action\u201d":[117,188],"mapping":[118,140,189],"proposed,":[121],"which":[122,198],"integrates":[123],"model":[133],"knowledge":[135,157,204],"description":[136],"perception":[138],"constructed.":[142],"perceives":[145],"recognizes":[147],"online,":[151,197],"updates":[153],"\u201cstate-action\u201d":[155],"experience":[156,203],"base":[158,205],"time.":[160,207],"validity":[162],"algorithm":[165],"verified":[167],"example":[170],"low-voltage":[172],"electrical":[173],"appliance":[174],"plastic":[175],"shell":[176],"results":[179],"show":[180],"that":[181],"based":[186],"on":[187],"sense":[191],"could":[199],"accumulate":[200],"update":[202]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}