{"id":"https://openalex.org/W3135553736","doi":"https://doi.org/10.1109/icra48506.2021.9561469","title":"Autonomous Robotic Escort Incorporating Motion Prediction and Human Intention","display_name":"Autonomous Robotic Escort Incorporating Motion Prediction and Human Intention","publication_year":2021,"publication_date":"2021-05-30","ids":{"openalex":"https://openalex.org/W3135553736","doi":"https://doi.org/10.1109/icra48506.2021.9561469","mag":"3135553736"},"language":"en","primary_location":{"id":"doi:10.1109/icra48506.2021.9561469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","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/A5041893610","display_name":"Dean Conte","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dean Conte","raw_affiliation_strings":["Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021113129","display_name":"Tomonari Furukawa","orcid":"https://orcid.org/0000-0003-2811-4221"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tomonari Furukawa","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041893610"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.9518,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79441323,"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":"3480","last_page":"3486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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":0.9983000159263611,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.6134518384933472},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6130754947662354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.602573037147522},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5885217189788818},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5328436493873596},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5234959721565247},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5161134004592896},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5142983794212341},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5093989968299866},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5073985457420349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5066812634468079},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4140406847000122},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.34418854117393494},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3110864758491516},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2081320881843567},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08598467707633972}],"concepts":[{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.6134518384933472},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6130754947662354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602573037147522},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5885217189788818},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5328436493873596},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5234959721565247},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5161134004592896},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5142983794212341},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5093989968299866},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5073985457420349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5066812634468079},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4140406847000122},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.34418854117393494},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3110864758491516},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2081320881843567},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08598467707633972},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48506.2021.9561469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1504905707","https://openalex.org/W1936415111","https://openalex.org/W1967199722","https://openalex.org/W1975225255","https://openalex.org/W1982369156","https://openalex.org/W2013690139","https://openalex.org/W2048903599","https://openalex.org/W2057086475","https://openalex.org/W2064849231","https://openalex.org/W2080767518","https://openalex.org/W2130307953","https://openalex.org/W2140242774","https://openalex.org/W2144150874","https://openalex.org/W2146602574","https://openalex.org/W2789714787","https://openalex.org/W2895535699","https://openalex.org/W2912879649","https://openalex.org/W2959219639","https://openalex.org/W2963697717","https://openalex.org/W2981997809","https://openalex.org/W3106257603","https://openalex.org/W6785849211"],"related_works":["https://openalex.org/W1989212443","https://openalex.org/W2103644279","https://openalex.org/W2373557848","https://openalex.org/W2002488624","https://openalex.org/W4302986566","https://openalex.org/W2088970451","https://openalex.org/W1968585197","https://openalex.org/W4309225183","https://openalex.org/W2539990421","https://openalex.org/W2157008402"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,7,11],"technique":[4,28],"that":[5,97],"allows":[6,63],"robot":[8,20,31,85],"to":[9,13,43,90,130],"escort":[10],"human":[12,23,36,39,71,79,103,107],"their":[14],"destination.":[15],"Unlike":[16],"tracking":[17],"where":[18],"the":[19,22,26,30,35,69,78,84,98,101,131],"follows":[21],"from":[24,76],"behind,":[25],"proposed":[27,102],"locates":[29],"in":[32,41],"front":[33],"of":[34,58,68,100],"by":[37,111],"incorporating":[38],"intention":[40,82,104],"addition":[42],"conventional":[44,132],"motion":[45,80],"prediction.":[46],"Human":[47],"head":[48],"pose":[49,75],"is":[50],"used":[51],"as":[52],"an":[53,119],"effective":[54,127],"past-proven":[55],"implicit":[56],"indicator":[57],"intention.":[59],"A":[60],"particle":[61],"filter":[62],"accurate":[64],"estimation":[65],"and":[66,81,126],"prediction":[67,109],"non-Gaussian":[70],"trajectory.":[72],"The":[73],"predicted":[74],"both":[77],"determines":[83],"control":[86],"action":[87],"which":[88],"leads":[89],"efficient":[91],"autonomous":[92],"escorting.":[93],"Experimental":[94,116],"analysis":[95],"shows":[96,124],"incorporation":[99],"model":[105],"reduces":[106],"position":[108],"error":[110],"approximately":[112],"40%":[113],"when":[114],"turning.":[115],"validation":[117],"with":[118],"omnidirectional":[120],"mobile":[121],"robotic":[122],"platform":[123],"successful":[125],"escorting":[128],"compared":[129],"techniques.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
