{"id":"https://openalex.org/W4401414342","doi":"https://doi.org/10.1109/icra57147.2024.10611126","title":"Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning","display_name":"Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401414342","doi":"https://doi.org/10.1109/icra57147.2024.10611126"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10611126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10611126","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":"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/A5057910194","display_name":"N. M. Harrison","orcid":"https://orcid.org/0000-0001-7498-8144"},"institutions":[{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]},{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nicholas Harrison","raw_affiliation_strings":["University of Sydney,Australian Centre for Field Robotics,NSW,AU"],"affiliations":[{"raw_affiliation_string":"University of Sydney,Australian Centre for Field Robotics,NSW,AU","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056914630","display_name":"Nathan Wallace","orcid":"https://orcid.org/0000-0001-6530-9138"},"institutions":[{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]},{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nathan Wallace","raw_affiliation_strings":["University of Sydney,Australian Centre for Field Robotics,NSW,AU"],"affiliations":[{"raw_affiliation_string":"University of Sydney,Australian Centre for Field Robotics,NSW,AU","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004268965","display_name":"Salah Sukkarieh","orcid":"https://orcid.org/0000-0003-1173-9268"},"institutions":[{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]},{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Salah Sukkarieh","raw_affiliation_strings":["University of Sydney,Australian Centre for Field Robotics,NSW,AU"],"affiliations":[{"raw_affiliation_string":"University of Sydney,Australian Centre for Field Robotics,NSW,AU","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057910194"],"corresponding_institution_ids":["https://openalex.org/I129604602","https://openalex.org/I4210127558"],"apc_list":null,"apc_paid":null,"fwci":1.0911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80916173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"17941","last_page":"17947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9976999759674072,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9976999759674072,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9919999837875366,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9787999987602234,"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":0.6403534412384033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3311045169830322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403534412384033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3311045169830322}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10611126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10611126","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":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1979211426","https://openalex.org/W1997020557","https://openalex.org/W2003213495","https://openalex.org/W2192203593","https://openalex.org/W2395579298","https://openalex.org/W2766765925","https://openalex.org/W2807452297","https://openalex.org/W2900131448","https://openalex.org/W2987980485","https://openalex.org/W3041133507","https://openalex.org/W3042021489","https://openalex.org/W3062658395","https://openalex.org/W3090200014","https://openalex.org/W3201838913","https://openalex.org/W6752430929","https://openalex.org/W6987219339"],"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":{"The":[0,122,149],"efficient":[1],"collection":[2],"of":[3,16,31,46,52,59,101,124,172],"samples":[4],"is":[5,128,134,143,151],"an":[6,89],"important":[7],"factor":[8,171],"in":[9,109],"outdoor":[10],"information":[11],"gathering":[12],"applications":[13],"on":[14,146],"account":[15],"high":[17],"sampling":[18],"costs":[19],"such":[20],"as":[21],"time,":[22,60],"energy,":[23],"and":[24,80,88,105,133,155,179,185],"potential":[25],"destruction":[26],"to":[27,64,115,136,153,165],"the":[28,44,50,62,99,125,175],"environment.":[29],"Utilization":[30],"available":[32],"a-priori":[33],"data":[34,48,132],"can":[35,97],"be":[36,116],"a":[37,84,160,170],"powerful":[38],"tool":[39],"for":[40,68,119],"increasing":[41],"efficiency.":[42,71],"However,":[43],"relationships":[45,104],"this":[47,66,73,75,94,112],"with":[49],"quantity":[51],"interest":[53],"are":[54,182],"often":[55],"not":[56],"known":[57],"ahead":[58],"limiting":[61],"ability":[63],"leverage":[65,156],"knowledge":[67,114],"improved":[69],"planning":[70],"To":[72],"end,":[74],"work":[76],"combines":[77],"transfer":[78],"learning":[79,82],"active":[81],"through":[83],"Multi-Task":[85],"Gaussian":[86],"Process":[87],"information-based":[90],"objective":[91],"function.":[92],"Through":[93],"combination":[95],"it":[96],"explore":[98],"space":[100],"hypothetical":[102],"inter-quantity":[103],"evaluate":[106,137],"these":[107],"hypotheses":[108,139,157,181],"real-time,":[110],"allowing":[111],"new":[113],"immediately":[117],"exploited":[118],"future":[120],"plans.":[121],"performance":[123],"proposed":[126],"method":[127],"evaluated":[129],"against":[130],"synthetic":[131],"shown":[135],"multiple":[138],"correctly.":[140],"Its":[141],"effectiveness":[142],"also":[144],"demonstrated":[145],"real":[147],"datasets.":[148],"technique":[150],"able":[152],"identify":[154],"which":[158],"show":[159],"medium":[161],"or":[162],"strong":[163],"correlation":[164],"reduce":[166],"prediction":[167],"error":[168],"by":[169],"1.4\u20133.4":[173],"within":[174],"first":[176],"7":[177],"samples,":[178],"poor":[180],"quickly":[183],"identified":[184],"rejected":[186],"eventually":[187],"having":[188],"no":[189],"adverse":[190],"effect.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}