{"id":"https://openalex.org/W2626991471","doi":"https://doi.org/10.1109/iros.2017.8206442","title":"Robots that anticipate pain: Anticipating physical perturbations from visual cues through deep predictive models","display_name":"Robots that anticipate pain: Anticipating physical perturbations from visual cues through deep predictive models","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2626991471","doi":"https://doi.org/10.1109/iros.2017.8206442","mag":"2626991471"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2017.8206442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5037356328","display_name":"Indranil Sur","orcid":"https://orcid.org/0000-0002-0135-4463"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Indranil Sur","raw_affiliation_strings":["Center for Vision Technologies, SRI International, Princeton, NJ"],"affiliations":[{"raw_affiliation_string":"Center for Vision Technologies, SRI International, Princeton, NJ","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024068845","display_name":"Heni Ben Amor","orcid":"https://orcid.org/0000-0002-9896-8217"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heni Ben Amor","raw_affiliation_strings":["School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037356328"],"corresponding_institution_ids":["https://openalex.org/I1298353152"],"apc_list":null,"apc_paid":null,"fwci":0.7801,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7886182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5541","last_page":"5548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9969000220298767,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9965000152587891,"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/robot","display_name":"Robot","score":0.8136835694313049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7069621086120605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6261107921600342},{"id":"https://openalex.org/keywords/sensory-cue","display_name":"Sensory cue","score":0.5866893529891968},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5536179542541504},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5290583372116089},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4523825943470001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3416275382041931},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0756118893623352},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07285618782043457}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.8136835694313049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7069621086120605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6261107921600342},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.5866893529891968},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5536179542541504},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5290583372116089},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4523825943470001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3416275382041931},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0756118893623352},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07285618782043457},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2017.8206442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:item:44032","is_oa":false,"landing_page_url":"http://hdl.handle.net/2286/R.I.44032","pdf_url":null,"source":{"id":"https://openalex.org/S4306400254","display_name":"Arizona State University Library Digital Repository (Arizona State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55732556","host_organization_name":"Arizona State University","host_organization_lineage":["https://openalex.org/I55732556"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Masters Thesis"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1485009520","https://openalex.org/W1546771929","https://openalex.org/W1559736362","https://openalex.org/W1581800915","https://openalex.org/W1665214252","https://openalex.org/W1844761640","https://openalex.org/W1904365287","https://openalex.org/W1947481528","https://openalex.org/W1981193003","https://openalex.org/W2001316412","https://openalex.org/W2012058822","https://openalex.org/W2015413619","https://openalex.org/W2064675550","https://openalex.org/W2095146110","https://openalex.org/W2100300558","https://openalex.org/W2102279668","https://openalex.org/W2132991926","https://openalex.org/W2149085596","https://openalex.org/W2154777391","https://openalex.org/W2157331557","https://openalex.org/W2173051530","https://openalex.org/W2330788154","https://openalex.org/W2418222507","https://openalex.org/W2592008540","https://openalex.org/W2962851944","https://openalex.org/W2964059111","https://openalex.org/W6632360823","https://openalex.org/W6637242042"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W3022067003"],"abstract_inverted_index":{"To":[0,95],"ensure":[1],"system":[2,128],"integrity,":[3],"robots":[4,32],"need":[5],"to":[6,17,33,43,53,67,86,151],"proactively":[7],"avoid":[8],"any":[9,133,161],"unwanted":[10],"physical":[11,36,73,153],"perturbation":[12,52],"that":[13,30,46,129,146],"may":[14],"cause":[15],"damage":[16],"the":[18,93,118,127],"underlying":[19],"hardware.":[20],"In":[21,41,77],"this":[22,96],"paper,":[23],"we":[24,98],"investigate":[25],"a":[26,100,122,141,147,156],"machine":[27],"learning":[28],"approach":[29,124],"allows":[31],"anticipate":[34],"impending":[35],"perturbations":[37,74,90],"from":[38,117],"perceptual":[39,115],"cues.":[40],"contrast":[42],"other":[44],"approaches":[45],"require":[47,132],"knowledge":[48],"about":[49],"sources":[50],"of":[51,135],"be":[54],"encoded":[55],"before":[56],"deployment,":[57],"our":[58],"method":[59],"is":[60],"based":[61],"on":[62,92],"experiential":[63],"learning.":[64],"Robots":[65],"learn":[66,150],"associate":[68],"visual":[69,81],"cues":[70,82],"with":[71,111],"subsequent":[72],"and":[75,114],"contacts.":[76],"turn,":[78],"these":[79],"extracted":[80],"are":[83],"then":[84],"used":[85],"predict":[87,152],"potential":[88],"future":[89],"acting":[91],"robot.":[94],"end,":[97],"introduce":[99],"novel":[101],"deep":[102],"network":[103],"architecture":[104],"which":[105],"combines":[106],"multiple":[107],"sub-networks":[108],"for":[109,125],"dealing":[110],"robot":[112,148],"dynamics":[113],"input":[116],"environment.":[119],"We":[120],"present":[121],"self-supervised":[123],"training":[126,136],"does":[130],"not":[131],"labeling":[134],"data.":[137],"Extensive":[138],"experiments":[139],"in":[140],"human-robot":[142],"interaction":[143,158],"task":[144],"show":[145],"can":[149],"contact":[154],"by":[155],"human":[157],"partner":[159],"without":[160],"prior":[162],"information":[163],"or":[164],"labeling.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
