{"id":"https://openalex.org/W1589892169","doi":"https://doi.org/10.1109/icra.2015.7139373","title":"Grasping strategy for moving object using Net-Structure Proximity Sensor and vision sensor","display_name":"Grasping strategy for moving object using Net-Structure Proximity Sensor and vision sensor","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1589892169","doi":"https://doi.org/10.1109/icra.2015.7139373","mag":"1589892169"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2015.7139373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5056573210","display_name":"Yosuke Suzuki","orcid":"https://orcid.org/0000-0001-6862-9719"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yosuke Suzuki","raw_affiliation_strings":["Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo,, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo,, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017527569","display_name":"Keisuke Koyama","orcid":"https://orcid.org/0000-0001-6885-9418"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Koyama","raw_affiliation_strings":["Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo,, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo,, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084234078","display_name":"Aiguo Ming","orcid":"https://orcid.org/0000-0003-2961-0884"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Aiguo Ming","raw_affiliation_strings":["Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo,, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo,, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103932906","display_name":"Makoto Shimojo","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Shimojo","raw_affiliation_strings":["Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo,, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo,, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":1.0,"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":1.0,"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/T10868","display_name":"Soft Robotics and Applications","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9940999746322632,"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/computer-vision","display_name":"Computer vision","score":0.7660694718360901},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.7137993574142456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.695184051990509},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.675337553024292},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.642211377620697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5661084651947021},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4918105900287628},{"id":"https://openalex.org/keywords/proximity-sensor","display_name":"Proximity sensor","score":0.46117767691612244},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4224150776863098}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7660694718360901},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.7137993574142456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.695184051990509},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.675337553024292},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.642211377620697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5661084651947021},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4918105900287628},{"id":"https://openalex.org/C135403697","wikidata":"https://www.wikidata.org/wiki/Q796765","display_name":"Proximity sensor","level":2,"score":0.46117767691612244},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4224150776863098},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2015.7139373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1576713090","https://openalex.org/W1992149378","https://openalex.org/W2040227765","https://openalex.org/W2051928245","https://openalex.org/W2089165520","https://openalex.org/W2095852913","https://openalex.org/W2131294801","https://openalex.org/W2142049541","https://openalex.org/W2153994943","https://openalex.org/W2155769684","https://openalex.org/W2163630324","https://openalex.org/W2331706026","https://openalex.org/W3145969779","https://openalex.org/W6634675783","https://openalex.org/W6648225807"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W165915117","https://openalex.org/W2326995835","https://openalex.org/W2743859443","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2019547100","https://openalex.org/W2903025760","https://openalex.org/W4353080934"],"abstract_inverted_index":{"This":[0,85],"study":[1],"presents":[2],"a":[3,13,27,76,97,107,118,126,195],"robot-hand-arm":[4],"system":[5],"with":[6,162,198],"high":[7,199],"robustness":[8],"and":[9,23,38,52,69,125,141,180],"responsiveness":[10],"by":[11,74,121,155],"using":[12],"\u201cNet-Structure":[14],"Proximity":[15,128],"Sensor.\u201d":[16],"The":[17],"sensor,":[18],"which":[19],"we":[20],"have":[21],"developed":[22],"specially":[24],"designed":[25],"for":[26,112],"robot":[28,50,61,119,132,171,192],"hand,":[29],"directly":[30],"detects":[31],"an":[32,71,114],"object":[33,73,185,197,215],"being":[34],"to":[35,44,65,68,96,134,142,174,177,182,209],"be":[36,175],"grasped":[37,194],"outputs":[39],"analog":[40],"voltage":[41],"signals":[42],"according":[43],"the":[45,49,53,60,82,89,92,131,136,144,147,156,160,164,167,170,183,191,211,214],"position/posture":[46],"error":[47,138],"between":[48],"hand":[51,62,120,133,172,193],"object.":[54],"It":[55],"has":[56],"been":[57],"confirmed":[58],"that":[59,190],"is":[63,110],"able":[64,176],"quickly":[66],"adjust":[67,135],"grasp":[70],"unknown":[72],"applying":[75],"feed-back":[77],"control":[78,95],"method":[79],"based":[80],"on":[81,88],"sensor":[83,109,168],"signals.":[84],"paper":[86],"focuses":[87],"integration":[90],"of":[91,117,146,166,213],"proximity-based":[93],"feedback":[94],"commonly-used":[98],"vision-based":[99],"control.":[100],"These":[101],"sensors":[102],"work":[103],"in":[104,203],"complementary":[105],"manner:":[106],"vision":[108],"available":[111],"planning":[113],"approaching":[115,137,179],"path":[116],"detecting":[122],"large":[123],"area,":[124],"Net-Structure":[127],"Sensor":[129],"enables":[130],"before":[139],"grasping":[140],"improve":[143],"certainty":[145],"grasping.":[148],"Two":[149],"objective":[150],"velocities":[151,161],"are":[152],"derived":[153],"independently":[154],"sensors.":[157],"By":[158],"adding":[159],"considering":[163],"reliability":[165],"information,":[169],"becomes":[173],"perform":[178],"adjustment":[181],"target":[184],"simultaneously.":[186],"Experimental":[187],"results":[188],"showed":[189],"moving":[196],"success":[200],"rate":[201],"even":[202],"conditions":[204],"where":[205],"it":[206],"was":[207],"difficult":[208],"predict":[210],"trajectory":[212],"accurately.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}