{"id":"https://openalex.org/W2738701519","doi":"https://doi.org/10.1109/icra.2017.7989336","title":"A game-theoretic approach for adaptive action selection in close proximity human-robot-collaboration","display_name":"A game-theoretic approach for adaptive action selection in close proximity human-robot-collaboration","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2738701519","doi":"https://doi.org/10.1109/icra.2017.7989336","mag":"2738701519"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2017.7989336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","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/A5078469731","display_name":"Volker Gabler","orcid":"https://orcid.org/0000-0002-9915-213X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Volker Gabler","raw_affiliation_strings":["Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052819249","display_name":"Tim Stahl","orcid":"https://orcid.org/0000-0002-4924-6090"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tim Stahl","raw_affiliation_strings":["Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071173134","display_name":"Gerold Huber","orcid":"https://orcid.org/0000-0002-7711-5434"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerold Huber","raw_affiliation_strings":["Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013059855","display_name":"Ozgur S. Oguz","orcid":"https://orcid.org/0000-0001-8723-1837"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ozgur Oguz","raw_affiliation_strings":["Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061769472","display_name":"Dirk Wollherr","orcid":"https://orcid.org/0000-0003-2810-6790"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Wollherr","raw_affiliation_strings":["Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Automatic Control Engineering, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078469731"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":2.6524,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.90338441,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2897","last_page":"2903"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9993000030517578,"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":0.9993000030517578,"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":0.986299991607666,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6992231607437134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6354018449783325},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6034529209136963},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.6010656356811523},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.5915322303771973},{"id":"https://openalex.org/keywords/action-selection","display_name":"Action selection","score":0.5864641070365906},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.49097588658332825},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4723342955112457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4176543951034546},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.19933265447616577},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.12649846076965332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1259152889251709}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6992231607437134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6354018449783325},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6034529209136963},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.6010656356811523},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.5915322303771973},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.5864641070365906},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.49097588658332825},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4723342955112457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4176543951034546},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.19933265447616577},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.12649846076965332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1259152889251709},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2017.7989336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.550000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322923","display_name":"Siemens","ror":"https://ror.org/059mq0909"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W125541279","https://openalex.org/W1155971952","https://openalex.org/W1522775715","https://openalex.org/W1885639605","https://openalex.org/W1992461594","https://openalex.org/W1997932767","https://openalex.org/W1999633780","https://openalex.org/W2025885193","https://openalex.org/W2065804258","https://openalex.org/W2080245757","https://openalex.org/W2093333331","https://openalex.org/W2136719407","https://openalex.org/W2141157184","https://openalex.org/W2162130878","https://openalex.org/W2274353822","https://openalex.org/W2294015222","https://openalex.org/W2295029210","https://openalex.org/W2344985987","https://openalex.org/W2602598717","https://openalex.org/W2752422882","https://openalex.org/W4302571648"],"related_works":["https://openalex.org/W4287179229","https://openalex.org/W4312141693","https://openalex.org/W3205513966","https://openalex.org/W1969185016","https://openalex.org/W1536009559","https://openalex.org/W3120459843","https://openalex.org/W2103821767","https://openalex.org/W4366547574","https://openalex.org/W2037619003","https://openalex.org/W2111030377"],"abstract_inverted_index":{"With":[0],"the":[1,37,63,86,92,108,117,126,133,146,192,200],"integration":[2],"of":[3,29,65,95,119,129,145,169,199],"Human-Robot":[4,87],"Collaboration":[5],"(HRC)":[6],"in":[7,36,70,156,164,181,191],"industrial":[8],"assembly":[9],"scenarios,":[10],"robot":[11,20,174],"systems":[12,21],"face":[13],"numerous":[14],"challenges.":[15],"In":[16,42,98],"contrast":[17,99],"to":[18,56,62,100,124,135],"classic":[19],"which":[22],"follow":[23],"a":[24,45,165,170,176,197],"pre-programmed":[25],"and":[26,82,175,187],"fixed":[27],"sequence":[28],"actions,":[30],"an":[31,152],"interaction":[32],"scenario":[33,155],"with":[34,60],"humans":[35],"loop":[38],"requires":[39],"mutual":[40,127],"adaptation.":[41],"this":[43],"paper":[44],"framework":[46,75,144],"based":[47],"on":[48,132,151],"game":[49,120],"theory":[50,121],"is":[51,122,149,162],"presented":[52],"that":[53],"allows":[54],"robots":[55],"choose":[57],"appropriate":[58],"actions":[59,131],"respect":[61],"action":[64],"human":[66,166,177],"coworkers":[67],"when":[68],"collaborating":[69],"close":[71,157,182],"proximity.":[72,158,183],"The":[73,142,184],"proposed":[74,105,147,201],"models":[76],"HRC":[77],"scenarios":[78],"as":[79,196],"iterative":[80],"games":[81],"selects":[83],"action-strategies":[84],"for":[85,112],"Team":[88],"(HRT)":[89],"by":[90],"finding":[91],"Nash-Equilibria":[93],"(NEs)":[94],"these":[96],"games.":[97],"most":[101],"common":[102],"approaches,":[103],"our":[104],"HRC-game":[106,148,161,202],"treats":[107],"decision-making":[109],"behavior":[110],"equally":[111],"all":[113,130],"agents":[114],"involved.":[115],"Therefore,":[116],"concept":[118],"applied":[123],"evaluate":[125],"interference":[128],"HRT":[134],"obtain":[136],"pareto-optimal":[137],"NEs,":[138],"i.e.":[139],"team-optimal":[140],"action-allocations.":[141],"general":[143],"realized":[150],"interactive":[153],"pick-and-place":[154],"This":[159],"exemplary":[160],"tested":[163],"subject":[167],"experiment":[168],"KUKA":[171],"LWR":[172],"4+":[173],"coworker":[178],"assembling":[179],"toy-bricks":[180],"experimental":[185],"measurements":[186],"statistically":[188],"significant":[189],"improvements":[190],"subjective":[193],"feedback":[194],"hold":[195],"proof-of-concept":[198],"model.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}