{"id":"https://openalex.org/W2513429950","doi":"https://doi.org/10.1109/med.2016.7536007","title":"Fast kNN-based prediction for the trajectory of a thrown body","display_name":"Fast kNN-based prediction for the trajectory of a thrown body","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2513429950","doi":"https://doi.org/10.1109/med.2016.7536007","mag":"2513429950"},"language":"en","primary_location":{"id":"doi:10.1109/med.2016.7536007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/med.2016.7536007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Mediterranean Conference on Control and Automation (MED)","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/A5038168921","display_name":"Konstantin Mironov","orcid":"https://orcid.org/0000-0002-4828-1345"},"institutions":[{"id":"https://openalex.org/I7885462","display_name":"Ufa State Aviation Technical University","ror":"https://ror.org/046gpnb18","country_code":"RU","type":"education","lineage":["https://openalex.org/I7885462"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Konstantin Mironov","raw_affiliation_strings":["Faculty of Computer Science and Robotics, Ufa State Aviation Technical University, Ufa, Russia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Robotics, Ufa State Aviation Technical University, Ufa, Russia","institution_ids":["https://openalex.org/I7885462"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080220851","display_name":"Martin Pongratz","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Pongratz","raw_affiliation_strings":["Intsitute of Computer Technology, Technische Universitaet Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Intsitute of Computer Technology, Technische Universitaet Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038168921"],"corresponding_institution_ids":["https://openalex.org/I7885462"],"apc_list":null,"apc_paid":null,"fwci":1.6241,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84970786,"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":"512","last_page":"517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991000294685364,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9921000003814697,"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.98089998960495,"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/trajectory","display_name":"Trajectory","score":0.89338219165802},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.7795071005821228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7633497714996338},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5532488226890564},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5101457238197327},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5093520879745483},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5025429725646973},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4734625220298767},{"id":"https://openalex.org/keywords/throwing","display_name":"Throwing","score":0.4721907377243042},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4483253061771393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44825905561447144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29823601245880127},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07934248447418213}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.89338219165802},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.7795071005821228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633497714996338},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5532488226890564},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5101457238197327},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5093520879745483},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5025429725646973},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4734625220298767},{"id":"https://openalex.org/C207451115","wikidata":"https://www.wikidata.org/wiki/Q12898216","display_name":"Throwing","level":2,"score":0.4721907377243042},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4483253061771393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44825905561447144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29823601245880127},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07934248447418213},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/med.2016.7536007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/med.2016.7536007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Mediterranean Conference on Control and Automation (MED)","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":14,"referenced_works":["https://openalex.org/W148620823","https://openalex.org/W1496737830","https://openalex.org/W1519891810","https://openalex.org/W1534248517","https://openalex.org/W2009566543","https://openalex.org/W2018020788","https://openalex.org/W2019105197","https://openalex.org/W2040663525","https://openalex.org/W2058718844","https://openalex.org/W2144984907","https://openalex.org/W2157799919","https://openalex.org/W2187369427","https://openalex.org/W3145969779","https://openalex.org/W6632073472"],"related_works":["https://openalex.org/W2757445715","https://openalex.org/W4239855920","https://openalex.org/W2371249440","https://openalex.org/W2365576545","https://openalex.org/W3165347946","https://openalex.org/W4226007727","https://openalex.org/W2059660105","https://openalex.org/W2327671128","https://openalex.org/W2386414876","https://openalex.org/W2101105382"],"abstract_inverted_index":{"Robotic":[0],"throwing":[1],"and":[2,149],"catching":[3,166],"of":[4,10,16,22,59,64,71,112,139,158,177],"objects":[5],"is":[6,29,88,107,123,134,161],"a":[7,40,45],"promising":[8],"way":[9],"material":[11],"transportation.":[12],"For":[13],"successful":[14,170],"catch":[15,171],"the":[17,26,60,78,84,91,101,113,117,127,137,159,164],"flying":[18],"object":[19],"accurate":[20],"prediction":[21,92],"its":[23],"trajectory":[24,41,80,122],"in":[25,68],"gripper":[27],"workspace":[28],"required.":[30],"While":[31],"most":[32],"state-of-the-art":[33],"solutions":[34],"use":[35],"physical":[36,57],"models":[37],"to":[38,76,174],"get":[39],"forecast":[42],"we":[43],"apply":[44],"predictor":[46],"based":[47,108,135,151],"on":[48,109,136,152,163],"nearest":[49],"neighbor":[50],"regression,":[51],"which":[52],"does":[53],"not":[54],"require":[55],"exact":[56],"model":[58],"motion.":[61],"The":[62,120,155],"challenge":[63],"such":[65],"application":[66],"consist":[67],"high":[69],"volume":[70],"calculations":[72],"that":[73],"are":[74,103,147],"needed":[75],"compare":[77],"current":[79,121],"with":[81,126],"examples":[82],"from":[83,116,129],"database.":[85],"This":[86],"issue":[87],"critical":[89],"as":[90],"must":[93],"be":[94],"real-time.":[95],"Two":[96],"approaches":[97,146],"for":[98,172],"speeding":[99],"up":[100,173],"procedure":[102],"discussed.":[104],"One":[105],"approach":[106,133],"fast":[110],"allocation":[111],"small":[114],"subset":[115],"entire":[118],"dataset.":[119],"compared":[124,150],"only":[125],"trajectories":[128],"this":[130],"subset.":[131],"Another":[132],"parallelization":[138],"computations":[140],"using":[141],"graphical":[142],"processing":[143],"units.":[144],"Both":[145],"evaluated":[148],"real":[153],"trajectories.":[154],"parallelized":[156],"version":[157],"algorithm":[160],"implemented":[162],"robotic":[165],"system.":[167],"It":[168],"provide":[169],"86":[175],"%":[176],"thrown":[178],"objects.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
