{"id":"https://openalex.org/W2773129283","doi":"https://doi.org/10.1109/roman.2017.8172481","title":"Evaluating critical points in trajectories","display_name":"Evaluating critical points in trajectories","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2773129283","doi":"https://doi.org/10.1109/roman.2017.8172481","mag":"2773129283"},"language":"en","primary_location":{"id":"doi:10.1109/roman.2017.8172481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2017.8172481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","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/A5104910007","display_name":"Shen Li","orcid":"https://orcid.org/0000-0003-2947-3787"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shen Li","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032670399","display_name":"Rosario Scalise","orcid":"https://orcid.org/0009-0008-1288-9907"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rosario Scalise","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061653312","display_name":"Henny Admoni","orcid":"https://orcid.org/0000-0003-1796-2196"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henny Admoni","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077719529","display_name":"Siddhartha S Srinivasa","orcid":"https://orcid.org/0000-0002-5091-106X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siddhartha S. Srinivasa","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086237721","display_name":"Stephanie Rosenthal","orcid":"https://orcid.org/0000-0002-7583-4590"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephanie Rosenthal","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5104910007"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.325,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66475374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1357","last_page":"1364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10656","display_name":"Child and Animal Learning Development","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10656","display_name":"Child and Animal Learning Development","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/T10653","display_name":"Robot Manipulation and Learning","score":0.9955999851226807,"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":0.9919000267982483,"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":0.8091243505477905},{"id":"https://openalex.org/keywords/inflection-point","display_name":"Inflection point","score":0.6651248931884766},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.6376587748527527},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6270363330841064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5984494686126709},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.52227783203125},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4833921492099762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4789600670337677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23428481817245483},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06592246890068054}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.8091243505477905},{"id":"https://openalex.org/C74545648","wikidata":"https://www.wikidata.org/wiki/Q212794","display_name":"Inflection point","level":2,"score":0.6651248931884766},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.6376587748527527},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6270363330841064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5984494686126709},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.52227783203125},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4833921492099762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4789600670337677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23428481817245483},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06592246890068054},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/roman.2017.8172481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2017.8172481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W9932698","https://openalex.org/W190528034","https://openalex.org/W206739251","https://openalex.org/W1530655603","https://openalex.org/W1572384134","https://openalex.org/W1575558843","https://openalex.org/W1735309676","https://openalex.org/W1931078822","https://openalex.org/W1966832848","https://openalex.org/W1970650938","https://openalex.org/W1973447078","https://openalex.org/W1981637451","https://openalex.org/W1992154343","https://openalex.org/W2009591982","https://openalex.org/W2013149394","https://openalex.org/W2018372581","https://openalex.org/W2018528947","https://openalex.org/W2018885754","https://openalex.org/W2034966370","https://openalex.org/W2050041135","https://openalex.org/W2061562262","https://openalex.org/W2083369407","https://openalex.org/W2086763352","https://openalex.org/W2102901612","https://openalex.org/W2115912906","https://openalex.org/W2127842795","https://openalex.org/W2151516755","https://openalex.org/W2154342426","https://openalex.org/W2336763592","https://openalex.org/W2470272378","https://openalex.org/W2581799494","https://openalex.org/W2594712139","https://openalex.org/W2997951946","https://openalex.org/W3029869912","https://openalex.org/W3105079111","https://openalex.org/W4248056173","https://openalex.org/W4256086569","https://openalex.org/W4300929448","https://openalex.org/W6600390444","https://openalex.org/W6607737712","https://openalex.org/W6631889272","https://openalex.org/W6634271167","https://openalex.org/W6637661409","https://openalex.org/W6640310118","https://openalex.org/W6679078561","https://openalex.org/W6748034435"],"related_works":["https://openalex.org/W2801622120","https://openalex.org/W2164141394","https://openalex.org/W4240977217","https://openalex.org/W3036524962","https://openalex.org/W2508088450","https://openalex.org/W2389434635","https://openalex.org/W4214750239","https://openalex.org/W2279908259","https://openalex.org/W2025641871","https://openalex.org/W4252107351"],"abstract_inverted_index":{"People":[0],"form":[1],"beliefs":[2],"about":[3,41],"intentions":[4],"and":[5,50,76,82,104],"preferences":[6,86],"of":[7,57],"robots":[8,15,123],"as":[9],"they":[10],"observe":[11],"robot":[12,36],"movement.":[13],"However,":[14],"rarely":[16],"optimize":[17],"their":[18,126],"movement":[19],"to":[20,23,60,80,107,131],"allow":[21],"people":[22],"easily":[24],"determine":[25],"state":[26,42,101],"preferences.":[27],"In":[28],"this":[29],"work,":[30],"we":[31],"define":[32],"critical":[33,74,129],"points":[34,45,52,97,117,130],"along":[35],"trajectories":[37,127],"that":[38,95,122],"convey":[39],"information":[40],"preferences:":[43],"inflection":[44,96],"are":[46,53],"changes":[47],"in":[48],"direction":[49],"compromise":[51,116],"the":[54],"relative":[55],"proportion":[56],"preferred":[58],"states":[59],"non-preferred":[61],"ones.":[62],"We":[63,120],"contribute":[64],"an":[65],"approach":[66],"for":[67,128],"automatically":[68],"generating":[69],"trajectory":[70],"demonstrations":[71],"with":[72],"specified":[73],"points,":[75],"test":[77],"observers'":[78],"abilities":[79],"understand":[81,100],"generalize":[83],"our":[84,89],"robot's":[85],"based":[87],"on":[88],"generated":[90],"demonstrations.":[91],"Our":[92],"results":[93],"show":[94],"helped":[98],"participants":[99],"preference":[102],"ordering":[103],"allowed":[105],"them":[106],"more":[108],"accurately":[109],"predict":[110],"paths":[111],"through":[112],"new":[113],"environments,":[114],"while":[115],"hindered":[118],"understanding.":[119,135],"conclude":[121],"should":[124],"evaluate":[125],"increase":[132],"human":[133],"observer":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
