{"id":"https://openalex.org/W3202115389","doi":"https://doi.org/10.1109/case49439.2021.9551528","title":"An Attention Transfer Model for Human-Assisted Failure Avoidance in Robot Manipulations","display_name":"An Attention Transfer Model for Human-Assisted Failure Avoidance in Robot Manipulations","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3202115389","doi":"https://doi.org/10.1109/case49439.2021.9551528","mag":"3202115389"},"language":"en","primary_location":{"id":"doi:10.1109/case49439.2021.9551528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","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/A5052102618","display_name":"Boyi Song","orcid":null},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]},{"id":"https://openalex.org/I13805885","display_name":"Vaughn College of Aeronautics and Technology","ror":"https://ror.org/056e22e24","country_code":"US","type":"education","lineage":["https://openalex.org/I13805885"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Boyi Song","raw_affiliation_strings":["Cognitive Robotics and AI Lab (CRAI) College of Aeronautics and Engineering, Kent State University, Kent, OH, USA"],"affiliations":[{"raw_affiliation_string":"Cognitive Robotics and AI Lab (CRAI) College of Aeronautics and Engineering, Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I13805885","https://openalex.org/I149910238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049999197","display_name":"Yuntao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I13805885","display_name":"Vaughn College of Aeronautics and Technology","ror":"https://ror.org/056e22e24","country_code":"US","type":"education","lineage":["https://openalex.org/I13805885"]},{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuntao Peng","raw_affiliation_strings":["Cognitive Robotics and AI Lab (CRAI) College of Aeronautics and Engineering, Kent State University, Kent, OH, USA"],"affiliations":[{"raw_affiliation_string":"Cognitive Robotics and AI Lab (CRAI) College of Aeronautics and Engineering, Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I13805885","https://openalex.org/I149910238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076115128","display_name":"Ruijiao Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I13805885","display_name":"Vaughn College of Aeronautics and Technology","ror":"https://ror.org/056e22e24","country_code":"US","type":"education","lineage":["https://openalex.org/I13805885"]},{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruijiao Luo","raw_affiliation_strings":["Cognitive Robotics and AI Lab (CRAI) College of Aeronautics and Engineering, Kent State University, Kent, OH, USA"],"affiliations":[{"raw_affiliation_string":"Cognitive Robotics and AI Lab (CRAI) College of Aeronautics and Engineering, Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I13805885","https://openalex.org/I149910238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448453","display_name":"Rui Liu","orcid":"https://orcid.org/0000-0002-2842-3860"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]},{"id":"https://openalex.org/I13805885","display_name":"Vaughn College of Aeronautics and Technology","ror":"https://ror.org/056e22e24","country_code":"US","type":"education","lineage":["https://openalex.org/I13805885"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Liu","raw_affiliation_strings":["Cognitive Robotics and AI Lab (CRAI) College of Aeronautics and Engineering, Kent State University, Kent, OH, USA"],"affiliations":[{"raw_affiliation_string":"Cognitive Robotics and AI Lab (CRAI) College of Aeronautics and Engineering, Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I13805885","https://openalex.org/I149910238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052102618"],"corresponding_institution_ids":["https://openalex.org/I13805885","https://openalex.org/I149910238"],"apc_list":null,"apc_paid":null,"fwci":0.1373,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4522944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2293","last_page":"2298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9986000061035156,"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":0.9986000061035156,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/robot","display_name":"Robot","score":0.639205276966095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6258459687232971},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.4824105501174927},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.4418216347694397},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3775882124900818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3050018548965454},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1550193428993225}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.639205276966095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6258459687232971},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.4824105501174927},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.4418216347694397},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3775882124900818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3050018548965454},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1550193428993225},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case49439.2021.9551528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","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/W34686378","https://openalex.org/W1499297823","https://openalex.org/W1686810756","https://openalex.org/W1997045063","https://openalex.org/W2060943494","https://openalex.org/W2082511574","https://openalex.org/W2094856020","https://openalex.org/W2151234635","https://openalex.org/W2157403344","https://openalex.org/W2203151096","https://openalex.org/W2278457516","https://openalex.org/W2409205391","https://openalex.org/W2470059143","https://openalex.org/W2512289182","https://openalex.org/W2543757304","https://openalex.org/W2562660001","https://openalex.org/W2593621665","https://openalex.org/W2766836212","https://openalex.org/W2768335984","https://openalex.org/W2769385735","https://openalex.org/W2899824181","https://openalex.org/W2947470949","https://openalex.org/W2962754704","https://openalex.org/W2963954913","https://openalex.org/W2965941554"],"related_works":["https://openalex.org/W2978665606","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727","https://openalex.org/W189465620","https://openalex.org/W4366818884","https://openalex.org/W2248308732","https://openalex.org/W4392651289"],"abstract_inverted_index":{"Due":[0],"to":[1,22,32,45,57,88,133,176,182],"real-world":[2],"dynamics":[3],"and":[4,25,34,49,59,68,128,135,151,171,184,201],"hardware":[5],"uncertainty,":[6],"robots":[7,56],"inevitably":[8],"fail":[9],"in":[10,14,65,76,148,157,162,198,207],"task":[11,141],"executions,":[12],"resulting":[13],"undesired":[15],"or":[16],"even":[17],"dangerous":[18],"executions.":[19],"In":[20],"order":[21],"avoid":[23],"failures":[24],"improve":[26,71],"robot":[27,37,72,90,117,125,169],"performance,":[28],"it":[29,52],"is":[30,53],"critical":[31],"identify":[33,89,134],"correct":[35,61,136],"abnormal":[36,137,168],"executions":[38],"at":[39],"an":[40],"early":[41],"stage.":[42],"However,":[43],"due":[44],"limited":[46],"reasoning":[47],"capability":[48],"knowledge":[50],"storage,":[51],"challenging":[54],"for":[55,145],"self-diagnose":[58],"-":[60],"their":[62],"own":[63],"abnormality":[64],"both":[66],"planning":[67],"executing.":[69],"To":[70],"self":[73],"diagnosis":[74],"capability,":[75],"this":[77],"research":[78],"a":[79,106,124,146,149,154,158,163],"novel":[80,107],"human-to-robot":[81],"attention":[82,102,115,122],"transfer":[83],"(H2R-AT)":[84],"method":[85,188],"was":[86,98,190],"developed":[87,99],"manipulation":[91],"errors":[92],"by":[93,100,192],"leveraging":[94],"human":[95,113,130,147],"instructions.":[96],"H2R-AT":[97],"fusing":[101],"mapping":[103],"mechanism":[104],"into":[105,116],"stacked":[108],"neural":[109],"networks":[110],"model,":[111],"transferring":[112,199],"verbal":[114,180],"visual":[118],"attention.":[119],"With":[120],"the":[121,193,202],"transfer,":[123],"understands":[126],"what":[127],"where":[129],"concerns":[131],"are":[132],"manipulations.":[138],"Two":[139],"representative":[140],"scenarios:":[142],"\u201cserve":[143],"water":[144],"kitchen\u201d":[150],"\u201cpick":[152],"up":[153],"defective":[155],"gear":[156],"factory\u201d":[159],"were":[160,174],"designed":[161],"simulation":[164],"framework":[165],"CRAIhri":[166],"with":[167],"manipulations;":[170],"252":[172],"volunteers":[173],"recruited":[175],"provide":[177],"about":[178],"12000":[179],"reminders":[181],"learn":[183],"test":[185],"H2R-AT.":[186],"The":[187],"effectiveness":[189],"validated":[191],"high":[194,203],"accuracy":[195,204],"of":[196,205],"73.68%":[197],"attention,":[200],"66.86%":[206],"avoiding":[208],"grasping":[209],"failures.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}