{"id":"https://openalex.org/W2072073951","doi":"https://doi.org/10.7148/2014-0421","title":"Integrating Simulation With Robotic Learning From Demonstration","display_name":"Integrating Simulation With Robotic Learning From Demonstration","publication_year":2014,"publication_date":"2014-05-27","ids":{"openalex":"https://openalex.org/W2072073951","doi":"https://doi.org/10.7148/2014-0421","mag":"2072073951"},"language":"en","primary_location":{"id":"doi:10.7148/2014-0421","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2014-0421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani","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/A5067208344","display_name":"Anat Hershkovitz Cohen","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Anat Hershkovitz Cohen","raw_affiliation_strings":["Ben Gurion University of the Negev"],"affiliations":[{"raw_affiliation_string":"Ben Gurion University of the Negev","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034498707","display_name":"Sigal Berman","orcid":"https://orcid.org/0000-0001-7717-7259"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sigal Berman","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067208344"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.15438963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"421","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9995999932289124,"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":0.9995999932289124,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9983000159263611,"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.7491938471794128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7127922773361206},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6478250026702881},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.6329432725906372},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6199581027030945},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5795804858207703},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5573315024375916},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.5401893854141235},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5130330324172974},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5085464715957642},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4120991826057434},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37928903102874756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3348604440689087},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3226483166217804},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2905837893486023},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15350836515426636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7491938471794128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7127922773361206},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6478250026702881},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.6329432725906372},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6199581027030945},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5795804858207703},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5573315024375916},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.5401893854141235},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5130330324172974},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5085464715957642},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4120991826057434},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37928903102874756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3348604440689087},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3226483166217804},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2905837893486023},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15350836515426636},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7148/2014-0421","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2014-0421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W174318992","https://openalex.org/W1568049844","https://openalex.org/W1604798095","https://openalex.org/W1613865483","https://openalex.org/W1986014385","https://openalex.org/W2010953845","https://openalex.org/W2016765487","https://openalex.org/W2026400040","https://openalex.org/W2042882799","https://openalex.org/W2056518977","https://openalex.org/W2100235553","https://openalex.org/W2101143083","https://openalex.org/W2110304639","https://openalex.org/W2113698995","https://openalex.org/W2118459920","https://openalex.org/W2121863487","https://openalex.org/W2123967136","https://openalex.org/W2133841948","https://openalex.org/W2133932631","https://openalex.org/W2134901302","https://openalex.org/W2137808289","https://openalex.org/W2153567566","https://openalex.org/W2161395589","https://openalex.org/W2519136272"],"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/W2532691423","https://openalex.org/W2170052867"],"abstract_inverted_index":{"Robots":[0],"that":[1,176,200],"co-habitat":[2],"an":[3,12,113,161],"environment":[4,57],"with":[5,203],"humans,":[6],"e.g.,":[7],"in":[8,29,55],"a":[9,36,69,181],"domestic":[10],"or":[11],"agricultural":[13],"environment,":[14],"must":[15],"be":[16],"capable":[17],"of":[18,71,101,111,116],"learning":[19,73,82,98,117,124,167,188],"task":[20],"related":[21],"information":[22],"from":[23,32],"people":[24],"who":[25],"are":[26],"not":[27],"skilled":[28],"robotics.":[30],"Learning":[31,42],"demonstration":[33],"(LfD)":[34],"offers":[35],"natural":[37],"way":[38],"for":[39,76,133,156,159,177,187,198],"such":[40,180],"communication.":[41],"motion":[43,131,134,158,179,199],"primitives":[44,132],"based":[45,148],"on":[46,149],"the":[47,56,62,78,84,104,109,142,154,172,185,196,204],"demonstrated":[48],"trajectories":[49],"facilitate":[50],"robustness":[51],"to":[52,95],"dynamic":[53,130],"changes":[54],"and":[58,64,89,122,136,175],"task.":[59],"Yet":[60],"since":[61],"robot":[63],"human":[65],"operator":[66],"typically":[67],"differ,":[68],"phase":[70],"autonomous":[72],"is":[74,87,100,147],"needed":[75],"optimizing":[77],"robotic":[79,126,173],"motion.":[80],"Autonomous":[81],"using":[83,118,125,141,168,189],"physical":[85,190],"hardware":[86],"costly":[88],"time":[90,99],"consuming.":[91],"Thus":[92],"finding":[93],"ways":[94],"minimize":[96],"this":[97],"importance.":[102],"In":[103],"current":[105],"paper":[106],"we":[107],"investigate":[108],"contribution":[110],"integrating":[112],"intermediate":[114],"stage":[115,182],"simulation,":[119],"after":[120],"LfD":[121],"before":[123],"hardware.":[127,191],"We":[128,152],"use":[129],"planning,":[135],"optimize":[137],"their":[138],"learned":[139],"parameters":[140],"PI":[143],"2":[144],"algorithm":[145],"which":[146],"reinforcement":[150],"learning.":[151],"implemented":[153],"method":[155,197],"reach-tograsp":[157],"harvesting":[160],"artificial":[162],"apple.":[163],"Our":[164],"results":[165],"show":[166],"simulation":[169],"drastically":[170],"improves":[171],"paths":[174],"reach-to-grasp":[178],"may":[183],"eliminate":[184],"need":[186],"Future":[192],"research":[193],"will":[194],"test":[195],"requires":[201],"interaction":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}