{"id":"https://openalex.org/W2043826720","doi":"https://doi.org/10.1163/156855304322753326","title":"Acquisition of a page turning skill for a multifingered hand using reinforcement learning","display_name":"Acquisition of a page turning skill for a multifingered hand using reinforcement learning","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2043826720","doi":"https://doi.org/10.1163/156855304322753326","mag":"2043826720"},"language":"en","primary_location":{"id":"doi:10.1163/156855304322753326","is_oa":false,"landing_page_url":"https://doi.org/10.1163/156855304322753326","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","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/A5018570365","display_name":"Jun Ueda","orcid":"https://orcid.org/0000-0001-7807-6863"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Ueda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022433142","display_name":"Ryoji Negi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryoji Negi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102278010","display_name":"Tsuneo Yoshikawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsuneo Yoshikawa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8715,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80138262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"18","issue":"1","first_page":"101","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.996999979019165,"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":0.9925000071525574,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7466822862625122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5901544690132141},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5808155536651611},{"id":"https://openalex.org/keywords/dreyfus-model-of-skill-acquisition","display_name":"Dreyfus model of skill acquisition","score":0.548001766204834},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5286234617233276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4952224791049957},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46836698055267334},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3983273506164551},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.39553266763687134},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32084810733795166},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.10836085677146912}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7466822862625122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5901544690132141},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5808155536651611},{"id":"https://openalex.org/C132758656","wikidata":"https://www.wikidata.org/wiki/Q5307365","display_name":"Dreyfus model of skill acquisition","level":2,"score":0.548001766204834},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5286234617233276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4952224791049957},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46836698055267334},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3983273506164551},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.39553266763687134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32084810733795166},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.10836085677146912},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1163/156855304322753326","is_oa":false,"landing_page_url":"https://doi.org/10.1163/156855304322753326","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W357760263","https://openalex.org/W641852170","https://openalex.org/W1884596267","https://openalex.org/W1977186231","https://openalex.org/W2092923988","https://openalex.org/W2104069953","https://openalex.org/W2121863487","https://openalex.org/W2233997862"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2086122291","https://openalex.org/W1987513656","https://openalex.org/W2072376847","https://openalex.org/W2264595650"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2,25,106],"proposes":[3],"a":[4,9,14,33,49,62,71,88,95,120],"method":[5],"of":[6,8,23,28,32,58,64,119],"acquisition":[7],"page":[10,50,96],"turning":[11,51,97],"skill":[12,31,98],"for":[13],"multifingered":[15],"robotic":[16],"hand":[17],"using":[18],"reinforcement":[19,80],"learning.":[20],"The":[21,74,85,109],"goal":[22],"this":[24,47],"is":[26,53,70,91,107,111],"generation":[27],"the":[29,102,105],"manipulation":[30],"flexible":[34,72],"object":[35],"without":[36,99],"its":[37,44],"explicit":[38],"model":[39],"and":[40,104,123],"tactile":[41],"sensation":[42],"during":[43],"control.":[45],"In":[46],"paper,":[48,65],"task":[52],"considered":[54],"as":[55],"an":[56,114],"example":[57],"such":[59],"tasks,":[60],"where":[61],"sheet":[63],"generally":[66],"used":[67],"in":[68],"books,":[69],"object.":[73],"fingertip":[75],"trajectories":[76],"are":[77],"obtained":[78],"by":[79,113],"learning":[81],"based":[82],"on":[83],"simulation.":[84],"reward":[86],"considering":[87],"friction":[89],"condition":[90],"given,":[92],"so":[93],"that":[94],"slip":[100],"between":[101],"finger":[103],"obtained.":[108],"validity":[110],"confirmed":[112],"experimental":[115],"system":[116],"which":[117],"consists":[118],"2-d.o.f.":[121,125],"manipulator":[122],"two":[124],"fingers.":[126],"Keywords:":[127],"FLEXIBLE":[128],"MATERIALSMANIPULATIONREINFORCEMENT":[129],"LEARNINGPAGE":[130],"TURNING":[131],"SKILLMULTIFINGEREDROBOTHAND.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
