{"id":"https://openalex.org/W1761041514","doi":"https://doi.org/10.1109/irds.2002.1041512","title":"Visual guided grasping and generalization using self-valuing learning","display_name":"Visual guided grasping and generalization using self-valuing learning","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1761041514","doi":"https://doi.org/10.1109/irds.2002.1041512","mag":"1761041514"},"language":"en","primary_location":{"id":"doi:10.1109/irds.2002.1041512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/irds.2002.1041512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/RSJ International Conference on Intelligent Robots and System","raw_type":"proceedings-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/A5086397307","display_name":"Bernd R\u00f6ssler","orcid":null},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"B. Rossler","raw_affiliation_strings":["Universitat Bielefeld, Bielefeld, Nordrhein-Westfalen, DE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Bielefeld, Bielefeld, Nordrhein-Westfalen, DE","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688917","display_name":"Jianwei Zhang","orcid":"https://orcid.org/0000-0002-1179-5414"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jianwei Zhang","raw_affiliation_strings":["Universitat Bielefeld, Bielefeld, Nordrhein-Westfalen, DE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Bielefeld, Bielefeld, Nordrhein-Westfalen, DE","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110563743","display_name":"M. Hochsmann","orcid":null},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Hochsmann","raw_affiliation_strings":["International Graduate School in Bioinfomrics and Genome Research, University of Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Graduate School in Bioinfomrics and Genome Research, University of Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":null,"apc_paid":null,"fwci":3.2766,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90826542,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"944","last_page":"949"},"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9761999845504761,"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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.8747076988220215},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.786597728729248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6862854361534119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6702388525009155},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.613616943359375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4955397844314575},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.4209352433681488},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4139719605445862},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3673585057258606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16829970479011536}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.8747076988220215},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.786597728729248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862854361534119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6702388525009155},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.613616943359375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4955397844314575},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.4209352433681488},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4139719605445862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3673585057258606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16829970479011536},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/irds.2002.1041512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/irds.2002.1041512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/RSJ International Conference on Intelligent Robots and System","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1480101757","https://openalex.org/W1558233590","https://openalex.org/W1820657498","https://openalex.org/W1877090692","https://openalex.org/W1975009259","https://openalex.org/W1986424574","https://openalex.org/W2124462968","https://openalex.org/W2133822059","https://openalex.org/W2147828873","https://openalex.org/W2161071618","https://openalex.org/W2169461437","https://openalex.org/W2567032824","https://openalex.org/W3159914786","https://openalex.org/W6646940534","https://openalex.org/W6794937971"],"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/W2657478029","https://openalex.org/W2626503888","https://openalex.org/W2080808138","https://openalex.org/W4387962997","https://openalex.org/W2129483190"],"abstract_inverted_index":{"We":[0],"present":[1,57],"a":[2,58,67,101,106,109,126],"self-valuing":[3],"learning":[4,10,22,63],"technique":[5],"which":[6,28],"is":[7,78],"capable":[8],"of":[9,25,50,61,92,100,129],"how":[11],"to":[12,114,124,132,137],"grasp":[13,125],"unfamiliar":[14],"objects":[15,130],"and":[16,32,89,108,131],"generalize":[17],"the":[18,44,62,72,90,122],"learned":[19,135],"abilities.":[20],"The":[21,36,76,118],"system":[23,77,119],"consists":[24],"two":[26],"learners":[27],"distinguish":[29],"between":[30],"local":[31,37],"global":[33,45],"grasping":[34],"criteria.":[35],"criteria":[38,46],"are":[39],"not":[40],"object":[41],"specific":[42],"while":[43],"cover":[47],"physical":[48],"properties":[49],"each":[51],"object.":[52],"In":[53],"this":[54,116],"case":[55],"we":[56],"generalization":[59],"method":[60],"parameters":[64],"based":[65],"on":[66],"tree":[68],"distance":[69],"model":[70],"for":[71],"medial":[73],"axis":[74],"transformations.":[75],"self-valuing,":[79],"i.e.":[80],"it":[81],"rates":[82],"its":[83],"actions":[84],"by":[85],"evaluating":[86],"sensory":[87],"information":[88],"usage":[91],"image":[93],"processing":[94],"techniques.":[95],"An":[96],"experimental":[97],"setup":[98],"consisting":[99],"PUMA-260":[102],"manipulator,":[103],"equipped":[104],"with":[105],"hand-camera":[107],"force/torque":[110],"sensor":[111],"was":[112],"used":[113],"test":[115],"scheme.":[117],"has":[120],"shown":[121],"ability":[123],"wide":[127],"range":[128],"apply":[133],"previously":[134],"knowledge":[136],"new":[138],"objects.":[139]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
