{"id":"https://openalex.org/W4401413814","doi":"https://doi.org/10.1109/icra57147.2024.10610628","title":"Knowledge acquisition plans: Generation, combination, and execution","display_name":"Knowledge acquisition plans: Generation, combination, and execution","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401413814","doi":"https://doi.org/10.1109/icra57147.2024.10610628"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10610628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035574727","display_name":"Dylan A. Shell","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dylan A. Shell","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5089976123","display_name":"Jason M. O\u2019Kane","orcid":"https://orcid.org/0000-0002-1536-4822"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jason M. O\u2019Kane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11798751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2556","last_page":"2562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9957000017166138,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9957000017166138,"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/T11125","display_name":"Petri Nets in System Modeling","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9517999887466431,"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":0.714259922504425},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.38934382796287537},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3706953525543213},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3458840250968933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714259922504425},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.38934382796287537},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3706953525543213},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3458840250968933}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10610628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","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":33,"referenced_works":["https://openalex.org/W1797446","https://openalex.org/W1498432697","https://openalex.org/W1529817735","https://openalex.org/W1985787415","https://openalex.org/W2004239125","https://openalex.org/W2016130656","https://openalex.org/W2018020586","https://openalex.org/W2132443513","https://openalex.org/W2161493293","https://openalex.org/W2178951833","https://openalex.org/W2181335003","https://openalex.org/W2337392266","https://openalex.org/W2429560406","https://openalex.org/W2618582403","https://openalex.org/W2623660146","https://openalex.org/W2883911422","https://openalex.org/W2909695427","https://openalex.org/W2930283066","https://openalex.org/W2943148875","https://openalex.org/W2950697717","https://openalex.org/W2964487155","https://openalex.org/W2973142128","https://openalex.org/W2973864946","https://openalex.org/W3100948105","https://openalex.org/W3136836759","https://openalex.org/W3175891028","https://openalex.org/W3207462752","https://openalex.org/W4200408523","https://openalex.org/W4205261319","https://openalex.org/W4220884366","https://openalex.org/W4226181025","https://openalex.org/W4280650816","https://openalex.org/W4383097609"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"This":[0,95],"paper":[1],"contemplates":[2],"the":[3,19,32,50,73],"possibility":[4],"of":[5,31,52,64,80,132,160],"asking":[6],"robots":[7,134],"questions":[8,48],"and":[9,21,66,107,130,151],"having":[10],"them":[11],"use":[12,118],"their":[13],"ability":[14],"to":[15,34,76,104,117,121,138,162],"go":[16],"out":[17],"into":[18],"environment":[20],"probe":[22],"it,":[23],"in":[24,72,99,136,146],"combination":[25],"with":[26],"what":[27,67],"they":[28,57,68],"already":[29],"know":[30],"world,":[33],"provide":[35],"answers.":[36],"We":[37,114,142],"describe":[38],"a":[39,42,78,100,147],"method":[40],"whereby":[41],"robot":[43,173],"system":[44],"efficiently":[45],"answers":[46],"such":[47],"on":[49],"basis":[51],"reasoning":[53],"about":[54],"observations":[55],"as":[56],"are":[58],"made,":[59],"interrelationships":[60],"between":[61,126],"multiple":[62,127,133],"pieces":[63],"evidence,":[65],"imply.A":[69],"central":[70],"idea":[71,96],"approach":[74],"is":[75,86,88,93,97,172],"maintain":[77],"separation":[79],"concerns":[81],"so":[82],"that":[83,171],"managing":[84],"\u2018what":[85],"known\u2019":[87],"decoupled":[89],"from":[90],"\u2018how":[91],"it":[92],"learned\u2019.":[94],"realized":[98],"graph-based":[101],"representation":[102,120],"well-suited":[103],"algorithmic":[105],"manipulation":[106],"composition,":[108],"exposing":[109],"synergies":[110],"rife":[111],"for":[112],"optimization.":[113],"show":[115],"how":[116,155],"this":[119],"leverage":[122],"both":[123],"informational":[124],"overlap":[125],"simultaneous":[128],"queries":[129],"availability":[131],"working":[135],"concert":[137],"answer":[139],"those":[140],"queries.":[141],"demonstrate":[143],"these":[144],"ideas":[145],"simple":[148],"case":[149],"study":[150],"present":[152],"data":[153],"illustrating":[154],"plan":[156],"quality":[157],"(in":[158],"terms":[159],"cost":[161],"execute)":[163],"can":[164],"be":[165],"improved":[166],"through":[167],"an":[168],"optimization":[169],"operation":[170],"agnostic.":[174]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
