{"id":"https://openalex.org/W2065435630","doi":"https://doi.org/10.1109/iros.2014.6942629","title":"Confidence-based roadmap using Gaussian process regression for a robot control","display_name":"Confidence-based roadmap using Gaussian process regression for a robot control","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2065435630","doi":"https://doi.org/10.1109/iros.2014.6942629","mag":"2065435630"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2014.6942629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5021267164","display_name":"Yuya Okadome","orcid":"https://orcid.org/0009-0008-2961-8417"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuya Okadome","raw_affiliation_strings":["Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011580159","display_name":"Yutaka Nakamura","orcid":"https://orcid.org/0000-0001-6307-5104"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Nakamura","raw_affiliation_strings":["Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019052699","display_name":"Kenji Urai","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Urai","raw_affiliation_strings":["Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031749767","display_name":"Yoshihiro Nakata","orcid":"https://orcid.org/0000-0003-2102-9358"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshihiro Nakata","raw_affiliation_strings":["Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101425832","display_name":"Hiroshi Ishiguro","orcid":"https://orcid.org/0000-0002-0805-7648"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Ishiguro","raw_affiliation_strings":["Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation, Osaka University, Toyonaka, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"661","last_page":"666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991000294685364,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9868000149726868,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9824000000953674,"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/motion-planning","display_name":"Motion planning","score":0.8227730989456177},{"id":"https://openalex.org/keywords/reachability","display_name":"Reachability","score":0.7831853628158569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7315306663513184},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6385483145713806},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6079698204994202},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5880791544914246},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5186235308647156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4917019009590149},{"id":"https://openalex.org/keywords/motion-control","display_name":"Motion control","score":0.4515130817890167},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42262938618659973},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41580435633659363},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.36977750062942505},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32865631580352783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2597070336341858},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13385191559791565},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0948108434677124}],"concepts":[{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.8227730989456177},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.7831853628158569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315306663513184},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6385483145713806},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6079698204994202},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5880791544914246},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5186235308647156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4917019009590149},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.4515130817890167},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42262938618659973},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41580435633659363},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.36977750062942505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32865631580352783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2597070336341858},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13385191559791565},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0948108434677124},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2014.6942629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2014.6942629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/RSJ International Conference on Intelligent Robots and Systems","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":22,"referenced_works":["https://openalex.org/W19296495","https://openalex.org/W1424654272","https://openalex.org/W1502922572","https://openalex.org/W1521785144","https://openalex.org/W1657674574","https://openalex.org/W2000359213","https://openalex.org/W2002201291","https://openalex.org/W2007692097","https://openalex.org/W2053833381","https://openalex.org/W2068851522","https://openalex.org/W2101421095","https://openalex.org/W2103052138","https://openalex.org/W2116064496","https://openalex.org/W2128990851","https://openalex.org/W2133322684","https://openalex.org/W2134634502","https://openalex.org/W2147717514","https://openalex.org/W2165216595","https://openalex.org/W2169528473","https://openalex.org/W4212863985","https://openalex.org/W6636922475","https://openalex.org/W6679785143"],"related_works":["https://openalex.org/W2127267268","https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4293503520","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655"],"abstract_inverted_index":{"To":[0],"achieve":[1],"a":[2,6,10,38,68,76,82],"realistic":[3],"task":[4],"by":[5,87,115],"recent":[7,30],"complicated":[8],"robot,":[9],"practical":[11],"motion":[12,22,36,55,77,118],"planning":[13,23,78,119],"method":[14,79,95],"is":[15,45,56,85],"important.":[16],"Especially":[17],"in":[18,80],"this":[19,72],"decade,":[20],"sampling-based":[21,35],"methods":[24],"have":[25],"become":[26],"popular":[27],"thanks":[28],"to":[29,96],"high":[31],"performance":[32],"computers.":[33],"In":[34,71],"planning,":[37],"graph":[39],"that":[40,106],"covers":[41],"the":[42,54,59,97,107,110,116],"state":[43],"space":[44],"constructed":[46],"based":[47],"on":[48],"reachability":[49],"between":[50],"node":[51],"pairs,":[52],"and":[53],"planned":[57],"using":[58,88],"graph.":[60],"However,":[61],"it":[62],"requires":[63],"an":[64,100],"explicit":[65],"model":[66,84],"of":[67,99,109],"controlled":[69],"target.":[70],"research,":[73],"we":[74],"propose":[75],"which":[81],"system":[83],"estimated":[86],"Gaussian":[89],"process":[90],"regression.":[91],"We":[92],"apply":[93],"our":[94],"control":[98,108],"actual":[101],"robot.":[102],"Experimental":[103],"results":[104],"show":[105],"robot":[111],"can":[112],"be":[113],"achieved":[114],"proposed":[117],"method.":[120]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
