{"id":"https://openalex.org/W2564666437","doi":"https://doi.org/10.1109/iros.2016.7759289","title":"Information-theoretic exploration with Bayesian optimization","display_name":"Information-theoretic exploration with Bayesian optimization","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2564666437","doi":"https://doi.org/10.1109/iros.2016.7759289","mag":"2564666437"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2016.7759289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2016.7759289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5101562163","display_name":"Shi Bai","orcid":"https://orcid.org/0000-0002-6081-3084"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shi Bai","raw_affiliation_strings":["Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090819950","display_name":"Jinkun Wang","orcid":"https://orcid.org/0000-0001-7030-5035"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinkun Wang","raw_affiliation_strings":["Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053041702","display_name":"Fanfei Chen","orcid":"https://orcid.org/0000-0001-6724-3515"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fanfei Chen","raw_affiliation_strings":["Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044251670","display_name":"Brendan Englot","orcid":"https://orcid.org/0000-0002-7966-2917"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brendan Englot","raw_affiliation_strings":["Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":null,"apc_paid":null,"fwci":5.2399,"has_fulltext":false,"cited_by_count":135,"citation_normalized_percentile":{"value":0.96957804,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1816","last_page":"1822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9997000098228455,"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":0.9997000098228455,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9970999956130981,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7488689422607422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6830933690071106},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5894807577133179},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5790350437164307},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5321587324142456},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.529533326625824},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5116875171661377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5056242942810059},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5022006034851074},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4729161858558655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4716989994049072},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4713311195373535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4243873059749603},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.40616437792778015},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.31464335322380066}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7488689422607422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830933690071106},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5894807577133179},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5790350437164307},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5321587324142456},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.529533326625824},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5116875171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5056242942810059},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5022006034851074},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4729161858558655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4716989994049072},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4713311195373535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4243873059749603},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.40616437792778015},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.31464335322380066},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2016.7759289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2016.7759289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1483202606","https://openalex.org/W1494192115","https://openalex.org/W1510052597","https://openalex.org/W1553636913","https://openalex.org/W1573725801","https://openalex.org/W1684737195","https://openalex.org/W1746819321","https://openalex.org/W1876676194","https://openalex.org/W1999050017","https://openalex.org/W2009906883","https://openalex.org/W2013229266","https://openalex.org/W2016930536","https://openalex.org/W2017995647","https://openalex.org/W2037907772","https://openalex.org/W2056554710","https://openalex.org/W2083327122","https://openalex.org/W2093625674","https://openalex.org/W2099201756","https://openalex.org/W2103009569","https://openalex.org/W2107386393","https://openalex.org/W2121658992","https://openalex.org/W2156670158","https://openalex.org/W2172103629","https://openalex.org/W2198547365","https://openalex.org/W2277848489","https://openalex.org/W2283534560","https://openalex.org/W2587142195","https://openalex.org/W2737993726","https://openalex.org/W2951665052","https://openalex.org/W2993383518","https://openalex.org/W3124229194","https://openalex.org/W3143481044","https://openalex.org/W4211049957","https://openalex.org/W6629021139","https://openalex.org/W6633068743","https://openalex.org/W6639170824","https://openalex.org/W6660115907","https://openalex.org/W6675200109","https://openalex.org/W6675823452","https://openalex.org/W6683083536","https://openalex.org/W6733078198","https://openalex.org/W6741521816","https://openalex.org/W6764988152"],"related_works":["https://openalex.org/W3104422856","https://openalex.org/W4206864338","https://openalex.org/W4287867179","https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4293503520","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W4210726438","https://openalex.org/W2803685231"],"abstract_inverted_index":{"We":[0,43],"consider":[1],"an":[2,14,18,93],"autonomous":[3],"exploration":[4],"problem":[5],"in":[6,106,174],"which":[7,126],"a":[8,19,45,70,75,133],"mobile":[9],"robot":[10],"is":[11,109,116,140],"guided":[12],"by":[13,64,111],"information-based":[15],"controller":[16],"through":[17],"priori":[20],"unknown":[21],"environment,":[22],"choosing":[23],"to":[24,33,48,69,97,149],"collect":[25],"its":[26,38],"next":[27,100],"measurement":[28],"at":[29],"the":[30,84,90,99,107,112,128,158],"location":[31],"estimated":[32],"be":[34],"most":[35,129],"informative":[36,130],"within":[37],"current":[39],"field":[40],"of":[41,135],"view.":[42],"propose":[44],"novel":[46],"approach":[47,115],"predict":[49],"mutual":[50],"information":[51],"(MI)":[52],"using":[53],"Bayesian":[54,65],"optimization.":[55],"Over":[56],"several":[57,119],"iterations,":[58],"candidate":[59],"sensing":[60,104],"actions":[61],"are":[62],"suggested":[63],"optimization":[66],"and":[67,143,166],"added":[68],"committee":[71,108],"that":[72,145,157],"repeatedly":[73],"trains":[74],"Gaussian":[76],"process":[77],"(GP).":[78],"The":[79,102],"GP":[80,147],"estimates":[81],"MI":[82,139],"throughout":[83],"robot's":[85],"action":[86,105,131],"space,":[87],"serving":[88],"as":[89],"basis":[91],"for":[92],"acquisition":[94],"function":[95],"used":[96],"select":[98],"candidate.":[101],"best":[103],"executed":[110],"robot.":[113],"This":[114],"compared":[117],"over":[118],"environments":[120],"with":[121,176],"two":[122],"batch":[123],"methods,":[124],"one":[125,144],"chooses":[127],"from":[132],"set":[134],"pseudo-random":[136],"samples":[137],"whose":[138],"explicitly":[141],"evaluated,":[142],"applies":[146],"regression":[148],"this":[150],"sample":[151],"set.":[152],"Our":[153],"computational":[154,164],"results":[155],"demonstrate":[156],"proposed":[159],"method":[160],"provides":[161],"not":[162],"only":[163],"efficiency":[165],"rapid":[167],"map":[168],"entropy":[169],"reduction,":[170],"but":[171],"also":[172],"robustness":[173],"comparison":[175],"competing":[177],"approaches.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
