{"id":"https://openalex.org/W4401415838","doi":"https://doi.org/10.1109/icra57147.2024.10609996","title":"A 3D Vector Field and Gaze Data Fusion Framework for Hand Motion Intention Prediction in Human-Robot Collaboration","display_name":"A 3D Vector Field and Gaze Data Fusion Framework for Hand Motion Intention Prediction in Human-Robot Collaboration","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401415838","doi":"https://doi.org/10.1109/icra57147.2024.10609996"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10609996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10609996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061233956","display_name":"Maleen Jayasuriya","orcid":"https://orcid.org/0000-0002-9455-5001"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maleen Jayasuriya","raw_affiliation_strings":["University of Technology,Robotics Institute (RI),Sydney,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Robotics Institute (RI),Sydney,Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073458662","display_name":"Gibson Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gibson Hu","raw_affiliation_strings":["University of Technology,Robotics Institute (RI),Sydney,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Robotics Institute (RI),Sydney,Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111177787","display_name":"Dinh Dang Khoa Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dinh Dang Khoa Le","raw_affiliation_strings":["University of Technology,Robotics Institute (RI),Sydney,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Robotics Institute (RI),Sydney,Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049785639","display_name":"Karyne Ang","orcid":"https://orcid.org/0000-0001-5202-0036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karyne Ang","raw_affiliation_strings":["University of Technology,Robotics Institute (RI),Sydney,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Robotics Institute (RI),Sydney,Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002680439","display_name":"Shankar Sankaran","orcid":"https://orcid.org/0000-0001-5485-6216"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shankar Sankaran","raw_affiliation_strings":["University of Technology,Robotics Institute (RI),Sydney,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Robotics Institute (RI),Sydney,Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102773196","display_name":"Dikai Liu","orcid":"https://orcid.org/0000-0001-9398-2100"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dikai Liu","raw_affiliation_strings":["University of Technology,Robotics Institute (RI),Sydney,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Robotics Institute (RI),Sydney,Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5637","last_page":"5643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9958999752998352,"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":0.9958999752998352,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.7979683876037598},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.683351993560791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6582419872283936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6451284289360046},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6328352093696594},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6071227788925171},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.563938558101654},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5309473872184753},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.504852831363678},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48780253529548645},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.42370742559432983},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33458542823791504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09982144832611084}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7979683876037598},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.683351993560791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582419872283936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6451284289360046},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6328352093696594},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6071227788925171},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.563938558101654},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5309473872184753},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.504852831363678},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48780253529548645},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.42370742559432983},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33458542823791504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09982144832611084},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10609996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10609996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","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":37,"referenced_works":["https://openalex.org/W601228132","https://openalex.org/W1885639605","https://openalex.org/W2064527819","https://openalex.org/W2118091902","https://openalex.org/W2251324750","https://openalex.org/W2730676472","https://openalex.org/W2949734647","https://openalex.org/W2964203186","https://openalex.org/W3003893443","https://openalex.org/W3149166261","https://openalex.org/W4234207725","https://openalex.org/W4243781391","https://openalex.org/W4249209162","https://openalex.org/W4250935087","https://openalex.org/W4283577513","https://openalex.org/W4312773932","https://openalex.org/W4376502360","https://openalex.org/W4387143525","https://openalex.org/W4387447989","https://openalex.org/W4388624454","https://openalex.org/W6676558959","https://openalex.org/W6682949877","https://openalex.org/W6687967076","https://openalex.org/W6696953224","https://openalex.org/W6746914800","https://openalex.org/W6748743710","https://openalex.org/W6757468745","https://openalex.org/W6763756166","https://openalex.org/W6773293057","https://openalex.org/W6794810483","https://openalex.org/W6800045146","https://openalex.org/W6802693195","https://openalex.org/W6805433770","https://openalex.org/W6807453828","https://openalex.org/W6810381014","https://openalex.org/W6810821911","https://openalex.org/W6848459820"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W4388576605","https://openalex.org/W2353265673","https://openalex.org/W2062302545","https://openalex.org/W2031175860","https://openalex.org/W2152662039","https://openalex.org/W3000959466","https://openalex.org/W4310969919"],"abstract_inverted_index":{"In":[0],"human-robot":[1],"collaboration":[2,22],"(HRC)":[3],"settings,":[4],"hand":[5,41,56,80,91,155],"motion":[6,42,92,116,156],"intention":[7],"prediction":[8],"(HMIP)":[9],"plays":[10],"a":[11,33,52,103,191],"pivotal":[12],"role":[13],"in":[14,113,190],"ensuring":[15],"prompt":[16],"decision-making,":[17],"safety,":[18],"and":[19,25,43,58,178,201],"an":[20],"intuitive":[21,199],"experience.":[23],"Precise":[24],"robust":[26],"HMIP":[27,65,212],"with":[28,66,98],"low":[29],"computational":[30],"resources":[31],"remains":[32],"challenge":[34],"due":[35,117],"to":[36,61,68,88,118,129,140,205],"the":[37,44,110,135,141,147,162,173,183,198,210,220],"stochastic":[38],"nature":[39,200],"of":[40,46,137,154,161,219],"diversity":[45],"HRC":[47,193,214],"tasks.":[48],"This":[49,94],"paper":[50],"proposes":[51],"framework":[53,149,221],"that":[54,146],"combines":[55],"trajectories":[57],"gaze":[59,99,127,138,170],"data":[60,101],"foster":[62],"robust,":[63],"real-time":[64,188],"minimal":[67],"no":[69],"training.":[70],"A":[71,187],"novel":[72],"3D":[73],"vector":[74],"field":[75],"method":[76],"is":[77,95,164,176,222],"introduced":[78],"for":[79],"trajectory":[81,86,163],"representation,":[82],"leveraging":[83],"minimum":[84],"jerk":[85],"predictions":[87],"discern":[89],"potential":[90,111,202],"endpoints.":[93],"statistically":[96],"combined":[97],"fixation":[100,139],"using":[102],"weighted":[104],"Naive":[105],"Bayes":[106],"Classifier":[107],"(NBC).":[108],"Acknowledging":[109],"variances":[112],"saccadic":[114],"eye":[115],"factors":[119],"like":[120],"fatigue":[121],"or":[122],"inattentiveness,":[123],"we":[124],"incorporate":[125],"stationary":[126],"entropy":[128],"gauge":[130],"visual":[131],"concentration,":[132],"thereby":[133],"adjusting":[134],"contribution":[136],"HMIP.":[142],"Empirical":[143],"experiments":[144],"substantiate":[145],"proposed":[148,211],"robustly":[150],"predicts":[151],"intended":[152],"endpoints":[153],"before":[157],"at":[158,225],"least":[159],"50%":[160],"completed.":[165],"It":[166],"also":[167],"successfully":[168],"exploits":[169],"fixations":[171],"when":[172,182],"human":[174],"operator":[175,184],"attentive":[177],"mitigates":[179],"its":[180],"influence":[181],"loses":[185],"focus.":[186],"implementation":[189,218],"construction":[192],"scenario":[194],"(collaborative":[195],"tiling)":[196],"showcases":[197],"efficiency":[203],"gains":[204],"be":[206],"leveraged":[207],"by":[208],"introducing":[209],"into":[213],"contexts.":[215],"The":[216],"opens-ource":[217],"made":[223],"available":[224],"https://github.com/maleenj/hmip_ros.git.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
