{"id":"https://openalex.org/W4404627845","doi":"https://doi.org/10.1109/lra.2024.3504792","title":"MotionGrasp: Long-Term Grasp Motion Tracking for Dynamic Grasping","display_name":"MotionGrasp: Long-Term Grasp Motion Tracking for Dynamic Grasping","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4404627845","doi":"https://doi.org/10.1109/lra.2024.3504792"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2024.3504792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3504792","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","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":null,"display_name":"Nuo Chen","orcid":"https://orcid.org/0009-0002-6773-5936"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nuo Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-6773-5936","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008380821","display_name":"Xiao-Ming Wu","orcid":"https://orcid.org/0000-0003-1115-8551"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Ming Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1115-8551","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113195376","display_name":"Guo-Hao Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohao Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-8318-5267","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102679549","display_name":"Jian-Jian Jiang","orcid":"https://orcid.org/0009-0009-2324-639X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Jian Jiang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-2324-639X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103128171","display_name":"Zibo Chen","orcid":"https://orcid.org/0000-0003-0572-7076"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibo Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0572-7076","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8327-0003","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.631,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70778589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"10","issue":"1","first_page":"796","last_page":"803"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9969000220298767,"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":0.9969000220298767,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10879","display_name":"Robotic Locomotion and Control","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/grasp","display_name":"GRASP","score":0.8352802395820618},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6798885464668274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.576850414276123},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5733023881912231},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5632510185241699},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5189125537872314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5037047266960144},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11501562595367432},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0857207179069519}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.8352802395820618},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6798885464668274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.576850414276123},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5733023881912231},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5632510185241699},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5189125537872314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5037047266960144},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11501562595367432},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0857207179069519},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2024.3504792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3504792","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1702828313","display_name":null,"funder_award_id":"U21A20471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8949795292","display_name":null,"funder_award_id":"92470202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1589892169","https://openalex.org/W1986043796","https://openalex.org/W1999156278","https://openalex.org/W2013329639","https://openalex.org/W2033223309","https://openalex.org/W2041376653","https://openalex.org/W2109618870","https://openalex.org/W2140173255","https://openalex.org/W2736762515","https://openalex.org/W2888704052","https://openalex.org/W2889829150","https://openalex.org/W2962737955","https://openalex.org/W2978706708","https://openalex.org/W2986303149","https://openalex.org/W3035198432","https://openalex.org/W3040086528","https://openalex.org/W3190988267","https://openalex.org/W3204876017","https://openalex.org/W3206872734","https://openalex.org/W4205483505","https://openalex.org/W4212865285","https://openalex.org/W4281649062","https://openalex.org/W4308481080","https://openalex.org/W4312987326","https://openalex.org/W4382366145","https://openalex.org/W4385245566","https://openalex.org/W4385430674","https://openalex.org/W4386071948","https://openalex.org/W4386075727","https://openalex.org/W4389665412","https://openalex.org/W4389665758","https://openalex.org/W4389666035","https://openalex.org/W4390871716","https://openalex.org/W4391216317","https://openalex.org/W6789211778"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2019547100","https://openalex.org/W2477150073","https://openalex.org/W2158788032"],"abstract_inverted_index":{"Dynamic":[0],"grasping,":[1,181],"which":[2,109,145],"aims":[3],"to":[4,19,104,117,166,186,206],"grasp":[5,67,112,120,141],"moving":[6],"objects":[7,25],"in":[8,43,46,66,114,131,147,179,191],"unstructured":[9],"environment,":[10],"is":[11,203],"crucial":[12],"for":[13,142,156],"robotics":[14],"community.":[15],"Previous":[16],"methods":[17],"propose":[18],"track":[20],"the":[21,29,39,61,71,77,82,89,92,98,111,118,128,139,143,154,173,187,192,207,217],"initial":[22],"grasps":[23,85,130],"or":[24],"by":[26],"matching":[27,36],"between":[28,86],"latest":[30],"two":[31],"frames.":[32],"However,":[33],"this":[34],"neighbour-frame":[35],"strategy":[37],"ignores":[38],"long-term":[40,62,72,119,210],"historical":[41],"trajectory":[42,63,73,121,155],"tracking,":[44],"resulting":[45],"accumulated":[47,124],"error.":[48,125],"To":[49,69],"address":[50],"this,":[51],"we":[52,75,101,150,159],"present":[53],"a":[54,162,204],"novel":[55],"dynamic":[56,93,180],"grasping":[57,177],"framework,":[58],"delicately":[59],"taking":[60],"into":[64,153],"account":[65],"tracking.":[68],"model":[70,90],"well,":[74],"introduce":[76],"concept":[78],"of":[79,84,209,219],"Grasp":[80,99,201],"Motion,":[81,100],"changes":[83],"frames,":[87],"endowing":[88],"with":[91,138],"modeling":[94],"ability.":[95],"Benefiting":[96],"from":[97],"are":[102],"able":[103],"conduct":[105],"accurate":[106],"motion":[107,163],"association,":[108,158],"associates":[110],"generated":[113,129],"current":[115,132],"frame":[116,133],"and":[122],"mitigates":[123],"Moreover,":[126],"since":[127],"may":[134],"not":[135],"precisely":[136],"align":[137],"ground-truth":[140],"trajectory,":[144],"results":[146],"deviation":[148],"when":[149],"put":[151],"it":[152],"future":[157],"further":[160,215],"design":[161],"alignment":[164],"module":[165],"compensate":[167],"it.":[168],"Our":[169,196],"experiments":[170,197,214],"show":[171],"that":[172,200],"MotionGrasp":[174],"achieves":[175],"great":[176],"performance":[178],"obtaining":[182],"20%":[183],"increase":[184],"compared":[185],"previous":[188],"SOTA":[189],"method":[190],"large-scale":[193],"GraspNet-1billion":[194],"dataset.":[195],"also":[198],"verify":[199,216],"Motion":[202],"key":[205],"success":[208],"modeling.":[211],"The":[212],"real-world":[213],"effectiveness":[218],"our":[220],"method.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
