{"id":"https://openalex.org/W2068498749","doi":"https://doi.org/10.1145/1839294.1839377","title":"Reinforcement learning of interface mapping for interactivity enhancement of robot control in assistive environments","display_name":"Reinforcement learning of interface mapping for interactivity enhancement of robot control in assistive environments","publication_year":2010,"publication_date":"2010-06-23","ids":{"openalex":"https://openalex.org/W2068498749","doi":"https://doi.org/10.1145/1839294.1839377","mag":"2068498749"},"language":"en","primary_location":{"id":"doi:10.1145/1839294.1839377","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1839294.1839377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments","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/A5062885036","display_name":"Jartuwat Rajruangrabin","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jartuwat Rajruangrabin","raw_affiliation_strings":["The University of Texas at Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108082534","display_name":"Dan O. Popa","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan O. Popa","raw_affiliation_strings":["The University of Texas at Arlington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":0.2725,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5152886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.989799976348877,"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.98580002784729,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7757506370544434},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7742913365364075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7353523969650269},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.6637649536132812},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.5949300527572632},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.49834251403808594},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.49707797169685364},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.4921337962150574},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49011072516441345},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48965293169021606},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.4651651680469513},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.41592320799827576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3789289593696594},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.06933730840682983}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7757506370544434},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7742913365364075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353523969650269},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.6637649536132812},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.5949300527572632},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.49834251403808594},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.49707797169685364},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.4921337962150574},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49011072516441345},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48965293169021606},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.4651651680469513},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.41592320799827576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3789289593696594},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.06933730840682983},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1839294.1839377","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1839294.1839377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1515851193","https://openalex.org/W2121863487","https://openalex.org/W2139418546"],"related_works":["https://openalex.org/W2930863966","https://openalex.org/W2126211886","https://openalex.org/W3153786280","https://openalex.org/W3127551068","https://openalex.org/W2165180011","https://openalex.org/W3165944253","https://openalex.org/W4220829754","https://openalex.org/W2351343564","https://openalex.org/W2170052867","https://openalex.org/W2171010636"],"abstract_inverted_index":{"The":[0,109],"supervisory":[1],"control":[2,15,59,158],"of":[3,13,66,83,106,111,117,139,156],"robots":[4,14,32,50,61,63,151,153],"is":[5,20,26,37,55,114],"a":[6,34,69,73],"very":[7],"demanding":[8],"application.":[9],"In":[10,76,131],"the":[11,23,81,94,99,104,115,127,137],"context":[12],"in":[16,33,145],"assistive":[17,52],"environments,":[18,95],"it":[19],"important":[21],"that":[22,36,45,136],"robot":[24],"user":[25],"able":[27],"to":[28,31,57],"give":[29],"commands":[30],"way":[35],"easy":[38],"and":[39],"intuitive.":[40],"There":[41],"are":[42],"several":[43],"tasks":[44],"can":[46,97,143],"be":[47],"achieved":[48],"using":[49],"under":[51],"environments.":[53],"It":[54],"challenging":[56],"efficiently":[58],"multiple":[60,150],"/":[62,152],"with":[64,68,93,154],"degrees":[65,155],"freedom":[67,157],"simple/intuitive":[70],"interface":[71,88,101,147],"by":[72],"single":[74],"operator.":[75],"this":[77,112,132],"proposal,":[78],"we":[79,96,134],"propose":[80],"use":[82,116,138],"Reinforcement":[84,107,128],"Learning":[85,129],"for":[86,126,149],"intuitive":[87],"mapping.":[89],"Based":[90],"on":[91,122],"interaction":[92],"determine":[98],"optimal":[100],"mapping":[102,148],"through":[103],"process":[105],"Learning.":[108],"novelty":[110],"paper":[113],"changing":[118],"reward":[119,141],"functions":[120,142],"based":[121],"qualitative":[123],"performance":[124],"evaluation":[125],"algorithm.":[130],"paper,":[133],"show":[135],"proposed":[140],"result":[144],"optimal/intuitive":[146],"applications.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
