{"id":"https://openalex.org/W2737087486","doi":"https://doi.org/10.1109/icra.2017.7989778","title":"Interpretable models for fast activity recognition and anomaly explanation during collaborative robotics tasks","display_name":"Interpretable models for fast activity recognition and anomaly explanation during collaborative robotics tasks","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2737087486","doi":"https://doi.org/10.1109/icra.2017.7989778","mag":"2737087486"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2017.7989778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/115395","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034950112","display_name":"Bradley Hayes","orcid":"https://orcid.org/0000-0002-0723-1085"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradley Hayes","raw_affiliation_strings":["Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044369720","display_name":"Julie Shah","orcid":"https://orcid.org/0000-0003-1338-8107"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julie A. Shah","raw_affiliation_strings":["Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":2.4916,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.92639932,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6586","last_page":"6593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9948999881744385,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7840945720672607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7741875052452087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7253469824790955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5941840410232544},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5414869785308838},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5414239764213562},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5322076678276062},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47516578435897827},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4725591540336609},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33860403299331665},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.15376052260398865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08229449391365051}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7840945720672607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7741875052452087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253469824790955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5941840410232544},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5414869785308838},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5414239764213562},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5322076678276062},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47516578435897827},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4725591540336609},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33860403299331665},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.15376052260398865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08229449391365051},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2017.7989778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/115395","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/115395","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT Web Domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/115395","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/115395","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT Web Domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W146508469","https://openalex.org/W1523493493","https://openalex.org/W1570540164","https://openalex.org/W1581800915","https://openalex.org/W1601449378","https://openalex.org/W1621899174","https://openalex.org/W1901931321","https://openalex.org/W1930624869","https://openalex.org/W1984798172","https://openalex.org/W1992461594","https://openalex.org/W2008765809","https://openalex.org/W2057067088","https://openalex.org/W2085837954","https://openalex.org/W2101355568","https://openalex.org/W2145546283","https://openalex.org/W2158582431","https://openalex.org/W2162130878","https://openalex.org/W2162268202","https://openalex.org/W2212535562","https://openalex.org/W2294987501","https://openalex.org/W2296594443","https://openalex.org/W2297328716","https://openalex.org/W2323122434","https://openalex.org/W2342491023","https://openalex.org/W2409715576","https://openalex.org/W2511929793","https://openalex.org/W2962851488","https://openalex.org/W4229726131","https://openalex.org/W4246714526","https://openalex.org/W4253639475","https://openalex.org/W6631319189","https://openalex.org/W6636478268","https://openalex.org/W6639892389","https://openalex.org/W6696823090"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W3195649134","https://openalex.org/W2389214306","https://openalex.org/W2357409937","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"Rapid":[5],"Activity":[6],"Prediction":[7],"Through":[8],"Object-oriented":[9],"Regression":[10],"(RAPTOR),":[11],"a":[12,30],"scalable":[13],"method":[14],"for":[15,53],"performing":[16],"rapid,":[17],"real-time":[18],"activity":[19,33,65],"recognition":[20],"and":[21,35,62,92,100],"prediction":[22],"that":[23,57],"achieves":[24],"state-of-the-art":[25],"classification":[26,95],"accuracy":[27],"on":[28],"both":[29],"generic":[31],"human":[32],"dataset":[34],"two":[36],"domain-specific":[37],"collaborative":[38],"robotics":[39],"manufacturing":[40],"datasets.":[41],"Our":[42],"approach":[43],"is":[44],"designed":[45],"to":[46,50,70,77,107],"be":[47],"human-interpretable:":[48],"able":[49],"provide":[51,108],"explanations":[52,110],"its":[54,64,112],"reasoning":[55,113],"such":[56],"non-experts":[58],"can":[59],"better":[60],"understand":[61],"improve":[63],"models.":[66],"We":[67,89],"incorporate":[68],"methods":[69],"increase":[71],"RAPTOR's":[72],"resilience":[73],"against":[74,83],"confusion":[75],"due":[76],"temporal":[78],"variations,":[79],"as":[80,82],"well":[81],"learning":[84],"false":[85],"correlations":[86],"between":[87],"features.":[88],"report":[90],"full":[91],"partial":[93],"trajectory":[94],"results":[96],"across":[97],"three":[98],"datasets":[99],"conclude":[101],"by":[102],"demonstrating":[103],"our":[104],"model's":[105],"ability":[106],"interpretable":[109],"of":[111],"using":[114],"outlier":[115],"detection":[116],"techniques.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
