{"id":"https://openalex.org/W2551123980","doi":"https://doi.org/10.1109/roman.2016.7745143","title":"Motion synopsis for robot arm trajectories","display_name":"Motion synopsis for robot arm trajectories","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2551123980","doi":"https://doi.org/10.1109/roman.2016.7745143","mag":"2551123980"},"language":"en","primary_location":{"id":"doi:10.1109/roman.2016.7745143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2016.7745143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 25th 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/A5006252401","display_name":"Daniel Rakita","orcid":"https://orcid.org/0000-0001-6292-8515"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Rakita","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017344436","display_name":"Bilge Mutlu","orcid":"https://orcid.org/0000-0002-9456-1495"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bilge Mutlu","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084778474","display_name":"Michael Gleicher","orcid":"https://orcid.org/0000-0003-3295-4071"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gleicher","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006252401"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12026113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24","issue":null,"first_page":"281","last_page":"287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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/T12290","display_name":"Human Motion and Animation","score":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7937099933624268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7814907431602478},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.736666202545166},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7181031107902527},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6681646704673767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583409309387207},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6545217037200928},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5749290585517883},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4875204265117645},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4841926395893097},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46776220202445984},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3649390935897827}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7937099933624268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7814907431602478},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.736666202545166},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7181031107902527},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6681646704673767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583409309387207},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6545217037200928},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5749290585517883},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4875204265117645},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4841926395893097},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46776220202445984},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3649390935897827},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/roman.2016.7745143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2016.7745143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","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":21,"referenced_works":["https://openalex.org/W203342046","https://openalex.org/W1549182107","https://openalex.org/W1791587663","https://openalex.org/W1804322400","https://openalex.org/W1966533201","https://openalex.org/W1969962089","https://openalex.org/W1973958003","https://openalex.org/W1979185460","https://openalex.org/W2028308192","https://openalex.org/W2029612144","https://openalex.org/W2032334361","https://openalex.org/W2100782177","https://openalex.org/W2114566476","https://openalex.org/W2117051369","https://openalex.org/W2121983588","https://openalex.org/W2142165007","https://openalex.org/W2145511322","https://openalex.org/W2255155700","https://openalex.org/W2895751616","https://openalex.org/W6638204763","https://openalex.org/W6754922758"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W2091301346","https://openalex.org/W1517524280","https://openalex.org/W4389760904","https://openalex.org/W2903025760","https://openalex.org/W2101105382"],"abstract_inverted_index":{"Monitoring,":[0],"analyzing,":[1],"or":[2],"comparing":[3],"the":[4,89,106,118,125,146],"motions":[5],"of":[6,44,52,124],"a":[7,11,15,41,45,50,56,77,81,114,130],"robot":[8,64,101,107],"can":[9],"be":[10,97],"critical":[12],"activity":[13],"but":[14],"tedious":[16],"and":[17,23,69,85,104,110,129,143,150],"inefficient":[18],"one":[19],"in":[20,55,113],"research":[21],"settings":[22],"practical":[24],"applications.":[25],"In":[26],"this":[27,73],"paper,":[28],"we":[29,33,75,133],"present":[30],"an":[31,121],"approach":[32,137,147],"call":[34],"motion":[35,47,65,90,102],"synopsis":[36],"for":[37,61],"providing":[38],"users":[39],"with":[40,120],"global":[42],"view":[43,83,123],"robot's":[46],"trajectory":[48],"as":[49],"set":[51],"key":[53],"poses":[54,95],"static":[57],"2D":[58],"image,":[59],"allowing":[60],"more":[62],"efficient":[63],"review,":[66],"preview,":[67],"analysis,":[68],"comparisons.":[70],"To":[71],"accomplish":[72],"presentation,":[74],"construct":[76],"3D":[78],"scene,":[79],"select":[80],"camera":[82],"direction":[84],"position":[86],"based":[87,99],"on":[88,100],"data,":[91],"decide":[92],"what":[93],"interior":[94],"should":[96],"shown":[98],"features,":[103],"organize":[105],"mesh":[108],"models":[109],"graphical":[111],"information":[112],"way":[115],"that":[116],"provides":[117],"user":[119,131],"at-a-glance":[122],"motion.":[126],"Through":[127],"examples":[128],"study,":[132],"document":[134],"how":[135],"our":[136],"performs":[138],"against":[139],"alternative":[140],"summarization":[141],"techniques":[142],"highlight":[144],"where":[145,151],"offers":[148],"benefit":[149],"it":[152],"is":[153],"limited.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
