{"id":"https://openalex.org/W2167652558","doi":"https://doi.org/10.1109/devlrn.2011.6037332","title":"Towards incremental learning of task-dependent action sequences using probabilistic parsing","display_name":"Towards incremental learning of task-dependent action sequences using probabilistic parsing","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2167652558","doi":"https://doi.org/10.1109/devlrn.2011.6037332","mag":"2167652558"},"language":"en","primary_location":{"id":"doi:10.1109/devlrn.2011.6037332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2011.6037332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Development and Learning (ICDL)","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/A5086722439","display_name":"Kyuhwa Lee","orcid":"https://orcid.org/0000-0002-3854-4690"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Kyuhwa Lee","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018921347","display_name":"Yiannis Demiris","orcid":"https://orcid.org/0000-0003-4917-3343"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yiannis Demiris","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086722439"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":3.2626,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92843234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"6"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9822999835014343,"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/computer-science","display_name":"Computer science","score":0.7953404188156128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6281795501708984},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6062981486320496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5539236068725586},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.54571533203125},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5439767837524414},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5237117409706116},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34701162576675415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7953404188156128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6281795501708984},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6062981486320496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5539236068725586},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.54571533203125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5439767837524414},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5237117409706116},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34701162576675415},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/devlrn.2011.6037332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2011.6037332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Development and Learning (ICDL)","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":31,"referenced_works":["https://openalex.org/W51996304","https://openalex.org/W1507924244","https://openalex.org/W1575798196","https://openalex.org/W1955233831","https://openalex.org/W1964583714","https://openalex.org/W1973193888","https://openalex.org/W1978470410","https://openalex.org/W1986014385","https://openalex.org/W1999167988","https://openalex.org/W2085539923","https://openalex.org/W2108157636","https://openalex.org/W2116111609","https://openalex.org/W2120437191","https://openalex.org/W2120591602","https://openalex.org/W2122364547","https://openalex.org/W2127946930","https://openalex.org/W2134842251","https://openalex.org/W2153264310","https://openalex.org/W2157715083","https://openalex.org/W2160517719","https://openalex.org/W2166302491","https://openalex.org/W2949296763","https://openalex.org/W3210232381","https://openalex.org/W4235665746","https://openalex.org/W4244922871","https://openalex.org/W4245826738","https://openalex.org/W4253694374","https://openalex.org/W6630507818","https://openalex.org/W6640956183","https://openalex.org/W6650225852","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2952780262","https://openalex.org/W2979495269","https://openalex.org/W2392917763","https://openalex.org/W2083429127","https://openalex.org/W2358855848","https://openalex.org/W6643695","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830"],"abstract_inverted_index":{"We":[0,55,78],"study":[1],"an":[2],"incremental":[3],"process":[4,47],"of":[5,10,48],"learning":[6],"where":[7],"a":[8,34,83,87],"set":[9],"generic":[11],"basic":[12],"actions":[13,41],"are":[14],"used":[15],"to":[16,65,68],"learn":[17],"higher-level":[18],"task-dependent":[19,23],"action":[20,24,44],"sequences.":[21],"A":[22],"sequence":[25],"is":[26,50],"learned":[27],"by":[28,33],"associating":[29],"the":[30,38,43,61],"goal":[31],"given":[32],"human":[35],"demonstrator":[36],"with":[37],"task-independent,":[39],"general-purpose":[40],"in":[42],"repertoire.":[45],"This":[46],"contextualization":[49],"done":[51],"using":[52,86],"probabilistic":[53],"parsing.":[54],"propose":[56],"stochastic":[57],"context-free":[58],"grammars":[59],"as":[60],"representational":[62],"framework":[63],"due":[64],"its":[66],"robustness":[67],"noise,":[69],"structural":[70],"flexibility,":[71],"and":[72,90],"easiness":[73],"on":[74,82],"defining":[75],"task-independent":[76],"actions.":[77],"demonstrate":[79],"our":[80],"implementation":[81,92],"real-world":[84],"scenario":[85],"humanoid":[88],"robot":[89],"report":[91],"issues":[93],"we":[94],"had.":[95]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
