{"id":"https://openalex.org/W3034015697","doi":"https://doi.org/10.1109/tim.2020.2994602","title":"Vision-Based Measurement and Prediction of Object Trajectory for Robotic Manipulation in Dynamic and Uncertain Scenarios","display_name":"Vision-Based Measurement and Prediction of Object Trajectory for Robotic Manipulation in Dynamic and Uncertain Scenarios","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3034015697","doi":"https://doi.org/10.1109/tim.2020.2994602","mag":"3034015697"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.2994602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.2994602","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5014423743","display_name":"Chongkun Xia","orcid":"https://orcid.org/0000-0001-5396-7643"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chongkun Xia","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5396-7643","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035657472","display_name":"Ching-Yen Weng","orcid":"https://orcid.org/0000-0002-8499-4414"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ching-Yen Weng","raw_affiliation_strings":["Robotics Research Centre, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-8499-4414","affiliations":[{"raw_affiliation_string":"Robotics Research Centre, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038287028","display_name":"Yunzhou Zhang","orcid":"https://orcid.org/0000-0003-0610-3732"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhou Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-0610-3732","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046605612","display_name":"I\u2010Ming Chen","orcid":"https://orcid.org/0000-0002-4831-3781"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"I-Ming Chen","raw_affiliation_strings":["Robotics Research Centre, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4831-3781","affiliations":[{"raw_affiliation_string":"Robotics Research Centre, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014423743"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":1.223,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.84001623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"69","issue":"11","first_page":"8939","last_page":"8952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9912999868392944,"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":0.9912999868392944,"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":0.9794999957084656,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.975600004196167,"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/computer-science","display_name":"Computer science","score":0.7404559850692749},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7036540508270264},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.658545732498169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6330815553665161},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5173584818840027},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.48017826676368713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4565732777118683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.344860702753067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404559850692749},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7036540508270264},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.658545732498169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6330815553665161},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5173584818840027},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.48017826676368713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4565732777118683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.344860702753067},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.2994602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.2994602","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1026440924","display_name":null,"funder_award_id":"20180520040","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G2007767059","display_name":null,"funder_award_id":"61471110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3674057146","display_name":null,"funder_award_id":"N182608004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4285396571","display_name":null,"funder_award_id":"61973066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6290533349","display_name":null,"funder_award_id":"201806080120","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G7675496943","display_name":null,"funder_award_id":"N172608005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W247104752","https://openalex.org/W1647372770","https://openalex.org/W1689711448","https://openalex.org/W1908020446","https://openalex.org/W1975846642","https://openalex.org/W2025389731","https://openalex.org/W2025644940","https://openalex.org/W2040351281","https://openalex.org/W2052946472","https://openalex.org/W2069761103","https://openalex.org/W2073308655","https://openalex.org/W2079735306","https://openalex.org/W2097998348","https://openalex.org/W2098661970","https://openalex.org/W2117014758","https://openalex.org/W2126709108","https://openalex.org/W2129440600","https://openalex.org/W2129763352","https://openalex.org/W2131774270","https://openalex.org/W2151509918","https://openalex.org/W2151767444","https://openalex.org/W2153136237","https://openalex.org/W2157331557","https://openalex.org/W2191329106","https://openalex.org/W2295861972","https://openalex.org/W2321802089","https://openalex.org/W2555822554","https://openalex.org/W2585528949","https://openalex.org/W2594776646","https://openalex.org/W2602516395","https://openalex.org/W2728074186","https://openalex.org/W2791787951","https://openalex.org/W2792665519","https://openalex.org/W2796347433","https://openalex.org/W2824754393","https://openalex.org/W2896362434","https://openalex.org/W2920980345","https://openalex.org/W2924119700","https://openalex.org/W2963149687","https://openalex.org/W4293584584","https://openalex.org/W6674385629","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2999756192","https://openalex.org/W4382701072","https://openalex.org/W2358933845","https://openalex.org/W2383487638"],"abstract_inverted_index":{"Vision-based":[0],"measurement":[1,30],"and":[2,9,19,39,125,135,164,182,213],"prediction":[3,72,95,102,175,204,209],"(VMP)":[4],"are":[5],"the":[6,25,48,55,77,83,87,118,127,142,173,180,191,202],"very":[7],"important":[8],"challenging":[10],"part":[11],"for":[12],"autonomous":[13],"robotic":[14],"manipulation,":[15],"especially":[16],"in":[17,31,206],"dynamic":[18,60,186],"uncertain":[20,65],"scenarios.":[21],"However,":[22],"due":[23],"to":[24,46,121,137,159,171,189],"potential":[26],"limitations":[27],"of":[28,51,73,185,208],"visual":[29],"such":[32,35],"an":[33,52,70,100],"environment":[34],"as":[36,54],"occlusion,":[37],"lighting,":[38],"hardware":[40],"limitations,":[41],"it":[42],"is":[43,99],"not":[44],"easy":[45],"acquire":[47,122],"accurate":[49,71],"positions":[50],"object":[53,61],"observations.":[56],"Moreover,":[57],"manipulating":[58],"a":[59,91,149,183],"with":[62],"unknown":[63],"or":[64],"motion":[66,74],"rules":[67],"usually":[68],"requires":[69],"trajectory":[75,144,169],"at":[76],"desired":[78],"moment,":[79],"which":[80],"dramatically":[81],"increases":[82],"difficulty.":[84],"To":[85],"address":[86],"problem,":[88],"we":[89,116,147,178],"propose":[90],"time":[92,155],"granularity-based":[93],"vision":[94,119],"framework":[96],"whose":[97],"core":[98],"integrated":[101],"model":[103],"based":[104,153],"on":[105,154],"multiple":[106],"[i.e.,":[107],"long":[108],"short-term":[109],"memory":[110],"(LSTM)]":[111],"neural":[112],"networks.":[113],"At":[114],"first,":[115],"use":[117,179],"sensor":[120],"raw":[123,139],"measurements":[124,140],"adopt":[126],"preprocessing":[128],"method":[129,200],"(e.g.,":[130],"data":[131,170],"completion,":[132],"error":[133],"compensation,":[134],"filtering)":[136],"turn":[138],"into":[141],"standard":[143],"data.":[145],"Then,":[146],"devise":[148],"novel":[150],"integration":[151],"strategy":[152],"granularity":[156],"boost":[157],"(TG-Boost)":[158],"select":[160],"appropriate":[161],"base":[162],"predictors":[163],"further":[165],"utilize":[166],"these":[167],"history":[168],"construct":[172],"high-precision":[174],"model.":[176],"Finally,":[177],"simulation":[181],"series":[184],"manipulation":[187],"experiments":[188],"validate":[190],"proposed":[192],"methodology.":[193],"The":[194],"results":[195],"also":[196],"show":[197],"that":[198],"our":[199],"outperforms":[201],"state-of-the-art":[203],"algorithms":[205],"terms":[207],"accuracy,":[210],"success":[211],"rate,":[212],"robustness.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
