{"id":"https://openalex.org/W2609884662","doi":"https://doi.org/10.1109/devlrn.2017.8329791","title":"Tapping the sensorimotor trajectory","display_name":"Tapping the sensorimotor trajectory","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2609884662","doi":"https://doi.org/10.1109/devlrn.2017.8329791","mag":"2609884662"},"language":"en","primary_location":{"id":"doi:10.1109/devlrn.2017.8329791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2017.8329791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1704.07622","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080416884","display_name":"Oswald Berthold","orcid":null},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Oswald Berthold","raw_affiliation_strings":["Adaptive Systems Group, Humboldt-Universitat zu, Berlin, Germany","Adaptive Systems Group, Department of Computer Science, Humboldt-Universit\u00e4t zu Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Adaptive Systems Group, Humboldt-Universitat zu, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]},{"raw_affiliation_string":"Adaptive Systems Group, Department of Computer Science, Humboldt-Universit\u00e4t zu Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025141452","display_name":"Verena V. Hafner","orcid":"https://orcid.org/0000-0002-9125-8466"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Verena V. Hafner","raw_affiliation_strings":["Adaptive Systems Group, Humboldt-Universitat zu, Berlin, Germany","Adaptive Systems Group, Department of Computer Science, Humboldt-Universit\u00e4t zu Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Adaptive Systems Group, Humboldt-Universitat zu, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]},{"raw_affiliation_string":"Adaptive Systems Group, Department of Computer Science, Humboldt-Universit\u00e4t zu Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080416884"],"corresponding_institution_ids":["https://openalex.org/I39343248"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03809996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1511 6309","issue":null,"first_page":"79","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9993000030517578,"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":0.9993000030517578,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9976000189781189,"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/T10656","display_name":"Child and Animal Learning Development","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7702449560165405},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5297533273696899},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5197914838790894},{"id":"https://openalex.org/keywords/tapping","display_name":"Tapping","score":0.5019268989562988},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4890373647212982},{"id":"https://openalex.org/keywords/sensory-system","display_name":"Sensory system","score":0.4170609414577484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34591054916381836},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13316214084625244},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.10803535580635071},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08833834528923035},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.06529733538627625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702449560165405},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5297533273696899},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5197914838790894},{"id":"https://openalex.org/C2777644245","wikidata":"https://www.wikidata.org/wiki/Q203598","display_name":"Tapping","level":2,"score":0.5019268989562988},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4890373647212982},{"id":"https://openalex.org/C94487597","wikidata":"https://www.wikidata.org/wiki/Q11101","display_name":"Sensory system","level":2,"score":0.4170609414577484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34591054916381836},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13316214084625244},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.10803535580635071},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08833834528923035},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.06529733538627625},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/devlrn.2017.8329791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2017.8329791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1704.07622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.07622","pdf_url":"https://arxiv.org/pdf/1704.07622","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2609884662","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1704.07622.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1704.07622","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1704.07622","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1704.07622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.07622","pdf_url":"https://arxiv.org/pdf/1704.07622","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2609884662.pdf","grobid_xml":"https://content.openalex.org/works/W2609884662.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1972586294","https://openalex.org/W1984917351","https://openalex.org/W1986246844","https://openalex.org/W2081030963","https://openalex.org/W2097861969","https://openalex.org/W2103568936","https://openalex.org/W2117726420","https://openalex.org/W2131297064","https://openalex.org/W2138960858","https://openalex.org/W2153564253","https://openalex.org/W2159893335","https://openalex.org/W2175030374","https://openalex.org/W2175711684","https://openalex.org/W2188182355","https://openalex.org/W2319373433","https://openalex.org/W2470271743","https://openalex.org/W2586360597","https://openalex.org/W4245846411","https://openalex.org/W4251206009","https://openalex.org/W6606625665","https://openalex.org/W6680241920","https://openalex.org/W6687392983","https://openalex.org/W6780176180"],"related_works":["https://openalex.org/W3108367492","https://openalex.org/W2950638751","https://openalex.org/W35869850","https://openalex.org/W2104476981","https://openalex.org/W2049486122","https://openalex.org/W77389841","https://openalex.org/W173799362","https://openalex.org/W150841721","https://openalex.org/W2039862345","https://openalex.org/W3119893003","https://openalex.org/W2947767323","https://openalex.org/W3104485462","https://openalex.org/W2765761189","https://openalex.org/W2166110729","https://openalex.org/W1972084753","https://openalex.org/W2964176956","https://openalex.org/W566581406","https://openalex.org/W3204384305","https://openalex.org/W2894528679","https://openalex.org/W52213775"],"abstract_inverted_index":{"In":[0,37,49],"this":[1,41,85],"paper,":[2],"we":[3,107],"propose":[4],"the":[5,19,38,70,77,109],"concept":[6],"of":[7,22,32,72],"sensorimotor":[8,25],"tappings,":[9],"a":[10,28,43],"new":[11],"graphical":[12],"technique":[13],"that":[14,84],"explicitly":[15],"represents":[16],"relations":[17,53],"between":[18],"time":[20,47,58,80],"steps":[21,59],"an":[23,33],"agent's":[24,78],"loop":[26],"and":[27,60,94,122],"single":[29],"training":[30],"step":[31],"adaptive":[34],"internal":[35],"model.":[36],"simplest":[39],"case":[40],"is":[42,67],"relation":[44],"linking":[45],"two":[46],"steps.":[48],"realistic":[50],"cases":[51],"these":[52],"can":[54,126],"extend":[55],"over":[56,61],"several":[57],"different":[62],"sensory":[63],"channels.":[64],"The":[65],"aim":[66],"to":[68,76,89,129],"capture":[69],"footprint":[71],"information":[73],"intake":[74],"relative":[75],"current":[79],"step.":[81],"We":[82],"argue":[83],"view":[86],"allows":[87],"us":[88],"make":[90],"prior":[91],"considerations":[92],"explicit":[93],"then":[95],"use":[96],"them":[97],"in":[98,119,131],"implementations":[99],"without":[100],"modification":[101],"once":[102],"they":[103],"are":[104],"established.":[105],"Here":[106],"explain":[108],"basic":[110],"idea,":[111],"provide":[112],"example":[113],"tappings":[114,125],"for":[115],"standard":[116],"configurations":[117],"used":[118],"developmental":[120],"models,":[121],"show":[123],"how":[124],"be":[127],"applied":[128],"problems":[130],"related":[132],"fields.":[133]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
