{"id":"https://openalex.org/W2980916669","doi":"https://doi.org/10.1109/etfa.2019.8869263","title":"AI-based Safety Analysis for Collaborative Mobile Robots","display_name":"AI-based Safety Analysis for Collaborative Mobile Robots","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2980916669","doi":"https://doi.org/10.1109/etfa.2019.8869263","mag":"2980916669"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2019.8869263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2019.8869263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","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/A5016562532","display_name":"Alberto Hata","orcid":"https://orcid.org/0000-0002-6968-7387"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Alberto Hata","raw_affiliation_strings":["Ericsson Research"],"affiliations":[{"raw_affiliation_string":"Ericsson Research","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067675907","display_name":"Rafia Inam","orcid":"https://orcid.org/0000-0001-7448-3381"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Rafia Inam","raw_affiliation_strings":["Ericsson Research"],"affiliations":[{"raw_affiliation_string":"Ericsson Research","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103120148","display_name":"Klaus Raizer","orcid":"https://orcid.org/0000-0001-7098-1965"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Klaus Raizer","raw_affiliation_strings":["Ericsson Research"],"affiliations":[{"raw_affiliation_string":"Ericsson Research","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007516715","display_name":"Shaolei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Shaolei Wang","raw_affiliation_strings":["Royal Institute of Technology (KTH)"],"affiliations":[{"raw_affiliation_string":"Royal Institute of Technology (KTH)","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053096408","display_name":"Enyu Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Enyu Cao","raw_affiliation_strings":["Royal Institute of Technology (KTH)"],"affiliations":[{"raw_affiliation_string":"Royal Institute of Technology (KTH)","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016562532"],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80712439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1722","last_page":"1729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9958000183105469,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152855396270752},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6786155104637146},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5983046293258667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5691540241241455},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5045379400253296},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.49911952018737793},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4941847622394562},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44124293327331543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4233423173427582},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12405282258987427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152855396270752},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6786155104637146},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5983046293258667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691540241241455},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5045379400253296},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.49911952018737793},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4941847622394562},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44124293327331543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4233423173427582},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12405282258987427},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa.2019.8869263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2019.8869263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","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":19,"referenced_works":["https://openalex.org/W1508779685","https://openalex.org/W1560270123","https://openalex.org/W2050288058","https://openalex.org/W2052971528","https://openalex.org/W2062301117","https://openalex.org/W2099184899","https://openalex.org/W2235770863","https://openalex.org/W2292482869","https://openalex.org/W2295204826","https://openalex.org/W2419360510","https://openalex.org/W2508274714","https://openalex.org/W2522924858","https://openalex.org/W2606126819","https://openalex.org/W2610856394","https://openalex.org/W2810519341","https://openalex.org/W2899483913","https://openalex.org/W2903842122","https://openalex.org/W2914825457","https://openalex.org/W2963150697"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W2122871747","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3014662300","https://openalex.org/W2164701574","https://openalex.org/W2481803758"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2,110],"implementation":[3],"details":[4],"of":[5,28,102],"AI":[6],"methods":[7],"used":[8],"for":[9,52,79,114],"safety":[10,53],"in":[11,96],"human":[12],"robot":[13],"collaborative":[14],"scenarios,":[15],"based":[16,65],"on":[17,66,69],"fuzzy":[18,76],"logic":[19,77],"and":[20,72,83,117],"state-of-the-art":[21],"deep":[22],"learning-based":[23],"perception.":[24],"For":[25],"semantic":[26],"representation":[27],"the":[29,35,38,111],"environment,":[30],"a":[31,89,97,103],"scene":[32],"graph":[33],"encodes":[34],"environment":[36,105],"surrounding":[37],"robots":[39],"with":[40],"information":[41],"from":[42],"camera,":[43],"which":[44,108],"is":[45],"then":[46],"fed":[47],"to":[48,88,106],"risk":[49,80,118],"management":[50],"system":[51],"analysis":[54],"purpose.":[55],"Transfer":[56],"learning":[57],"effects":[58],"have":[59,93],"been":[60,86,94],"observed":[61],"when":[62],"starting":[63],"training":[64],"weights":[67],"pre-trained":[68],"Image":[70],"Net":[71],"COCO":[73],"data-sets.":[74],"A":[75],"solution":[78],"analysis,":[81],"evaluation":[82],"mitigation":[84],"has":[85],"compared":[87],"neuro-fuzzy":[90],"approach.":[91],"Experiments":[92],"performed":[95],"physically":[98],"realistic":[99],"3D":[100],"simulation":[101],"warehouse":[104],"evaluate":[107],"configuration":[109],"best":[112],"performance":[113],"robotic":[115],"perception":[116],"mitigation.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}