{"id":"https://openalex.org/W2783849467","doi":"https://doi.org/10.1109/humanoids.2017.8246916","title":"Robots learning from robots: A proof of concept study for co-manipulation tasks","display_name":"Robots learning from robots: A proof of concept study for co-manipulation tasks","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783849467","doi":"https://doi.org/10.1109/humanoids.2017.8246916","mag":"2783849467"},"language":"en","primary_location":{"id":"doi:10.1109/humanoids.2017.8246916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2017.8246916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids)","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/A5042113474","display_name":"Luka Peternel","orcid":"https://orcid.org/0000-0002-8696-3689"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luka Peternel","raw_affiliation_strings":["Istituto Italiano di Tecnologia, Genova, Liguria, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia, Genova, Liguria, IT","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070028115","display_name":"Arash Ajoudani","orcid":"https://orcid.org/0000-0002-1261-737X"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Arash Ajoudani","raw_affiliation_strings":["Istituto Italiano di Tecnologia, Genova, Liguria, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia, Genova, Liguria, IT","institution_ids":["https://openalex.org/I30771326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6123,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71966317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"97","issue":null,"first_page":"484","last_page":"490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998000264167786,"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":0.9998000264167786,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.8600092530250549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6906538009643555},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6905578374862671},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6195241212844849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6144412159919739},{"id":"https://openalex.org/keywords/impedance-control","display_name":"Impedance control","score":0.5811830759048462},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5108087062835693},{"id":"https://openalex.org/keywords/proof-of-concept","display_name":"Proof of concept","score":0.4634425938129425},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4577104449272156},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.4463198482990265},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.4378357231616974},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3412119746208191},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1274077296257019}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.8600092530250549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906538009643555},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6905578374862671},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6195241212844849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6144412159919739},{"id":"https://openalex.org/C2777984285","wikidata":"https://www.wikidata.org/wiki/Q17098134","display_name":"Impedance control","level":3,"score":0.5811830759048462},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5108087062835693},{"id":"https://openalex.org/C124978682","wikidata":"https://www.wikidata.org/wiki/Q1201019","display_name":"Proof of concept","level":2,"score":0.4634425938129425},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4577104449272156},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.4463198482990265},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.4378357231616974},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3412119746208191},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1274077296257019},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.1109/humanoids.2017.8246916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2017.8246916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1487858791","https://openalex.org/W1500588313","https://openalex.org/W1540685400","https://openalex.org/W1541925238","https://openalex.org/W1885639605","https://openalex.org/W1979117064","https://openalex.org/W1997543377","https://openalex.org/W2003647011","https://openalex.org/W2012058822","https://openalex.org/W2047191624","https://openalex.org/W2063182199","https://openalex.org/W2086493383","https://openalex.org/W2094697883","https://openalex.org/W2094717419","https://openalex.org/W2103831616","https://openalex.org/W2107726111","https://openalex.org/W2123967136","https://openalex.org/W2131666656","https://openalex.org/W2140801763","https://openalex.org/W2157719307","https://openalex.org/W2167804690","https://openalex.org/W2182585001","https://openalex.org/W2277108862","https://openalex.org/W2296332048","https://openalex.org/W2403014006","https://openalex.org/W2414951932","https://openalex.org/W2500624988","https://openalex.org/W2568343704","https://openalex.org/W2569700948","https://openalex.org/W2606499982","https://openalex.org/W6632235069","https://openalex.org/W6676007687","https://openalex.org/W6678157427","https://openalex.org/W6680971464"],"related_works":["https://openalex.org/W4312475206","https://openalex.org/W2147346212","https://openalex.org/W2168933883","https://openalex.org/W1500588313","https://openalex.org/W2724299411","https://openalex.org/W4365788246","https://openalex.org/W1989753795","https://openalex.org/W3133699834","https://openalex.org/W1936970628","https://openalex.org/W2542622692"],"abstract_inverted_index":{"In":[0],"this":[1,18],"paper":[2],"we":[3,151],"study":[4],"the":[5,22,28,35,42,54,57,64,78,81,85,104,148],"concept":[6,19],"of":[7,17,80,95],"robots":[8,36,156],"learning":[9,98,157],"from":[10,84],"collaboration":[11,62],"with":[12,63,88,118],"skilled":[13],"robots.":[14],"The":[15,49,92,114,136],"advantage":[16],"is":[20,25,131],"that":[21,100],"human":[23],"involvement":[24],"reduced,":[26],"while":[27,128],"skill":[29,55],"can":[30,76,101],"be":[31],"propagated":[32],"faster":[33],"among":[34],"performing":[37],"similar":[38],"collaborative":[39],"tasks":[40],"or":[41],"ones":[43],"being":[44],"executed":[45],"in":[46],"hostile":[47],"environments.":[48],"expert":[50,90],"robot":[51,75],"initially":[52],"obtains":[53],"through":[56],"observation":[58],"of,":[59],"and":[60,107,122,158],"physical":[61,86],"human.":[65],"We":[66],"present":[67],"a":[68,73,96,142,160],"novel":[69],"approach":[70,150],"to":[71],"how":[72],"novice":[74],"learn":[77,103],"specifics":[79],"co-manipulation":[82,162],"task":[83,112],"interaction":[87],"an":[89],"robot.":[91],"method":[93],"consists":[94],"multi-stage":[97],"process":[99],"gradually":[102],"appropriate":[105],"motion":[106],"impedance":[108],"behaviour":[109],"under":[110],"given":[111],"conditions.":[113],"trajectories":[115,138],"are":[116,139],"encoded":[117],"Dynamical":[119],"Movement":[120],"Primitives":[121],"learnt":[123,137],"by":[124,133,141],"Locally":[125],"Weighted":[126],"Regression,":[127],"their":[129],"phase":[130],"estimated":[132],"adaptive":[134],"oscillators.":[135],"replicated":[140],"hybrid":[143],"force/impedance":[144],"controller.":[145],"To":[146],"validate":[147],"proposed":[149],"performed":[152],"experiments":[153],"on":[154],"two":[155],"executing":[159],"challenging":[161],"task.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}