{"id":"https://openalex.org/W2027531431","doi":"https://doi.org/10.1109/icra.2013.6630691","title":"Expensive multiobjective optimization for robotics","display_name":"Expensive multiobjective optimization for robotics","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2027531431","doi":"https://doi.org/10.1109/icra.2013.6630691","mag":"2027531431"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2013.6630691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2013.6630691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Automation","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/A5053402344","display_name":"Matthew Tesch","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Tesch","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055199976","display_name":"Jeff Schneider","orcid":"https://orcid.org/0000-0002-5080-9073"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff Schneider","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048906141","display_name":"Howie Choset","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Howie Choset","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":4.0973,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.93885177,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"973","last_page":"980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9991000294685364,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.995199978351593,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9890000224113464,"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/robotics","display_name":"Robotics","score":0.812854528427124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6926411390304565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6143858432769775},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.589130163192749},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5773387551307678},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5680508017539978},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5524967908859253},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4934655725955963},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47918450832366943},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40574926137924194},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33707526326179504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15153855085372925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12168055772781372}],"concepts":[{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.812854528427124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6926411390304565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143858432769775},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.589130163192749},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5773387551307678},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5680508017539978},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5524967908859253},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4934655725955963},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47918450832366943},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40574926137924194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33707526326179504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15153855085372925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12168055772781372},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2013.6630691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2013.6630691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1483431698","https://openalex.org/W1503327452","https://openalex.org/W1510052597","https://openalex.org/W1521769950","https://openalex.org/W1558919105","https://openalex.org/W1569757501","https://openalex.org/W1746819321","https://openalex.org/W1985592293","https://openalex.org/W2024060531","https://openalex.org/W2060442802","https://openalex.org/W2061144551","https://openalex.org/W2063686375","https://openalex.org/W2067477688","https://openalex.org/W2075710442","https://openalex.org/W2097420670","https://openalex.org/W2098629435","https://openalex.org/W2098768009","https://openalex.org/W2100458122","https://openalex.org/W2110029398","https://openalex.org/W2111526171","https://openalex.org/W2116625481","https://openalex.org/W2118192364","https://openalex.org/W2118948426","https://openalex.org/W2126105956","https://openalex.org/W2131241448","https://openalex.org/W2146825313","https://openalex.org/W2151238122","https://openalex.org/W2151263643","https://openalex.org/W2171074980","https://openalex.org/W2179313173","https://openalex.org/W2302560253","https://openalex.org/W3149811894","https://openalex.org/W4211049957","https://openalex.org/W6631317511","https://openalex.org/W6674794589","https://openalex.org/W6677870611","https://openalex.org/W6697816282"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W1550055091","https://openalex.org/W2744462909","https://openalex.org/W3083133203","https://openalex.org/W1971520370"],"abstract_inverted_index":{"Many":[0],"practical":[1],"optimization":[2,46,74],"problems":[3],"in":[4,35,43],"robotics":[5],"involve":[6],"multiple":[7],"competing":[8],"objectives":[9],"-":[10],"from":[11],"design":[12],"trade-offs":[13],"to":[14,57,99],"performance":[15,49],"metrics":[16],"of":[17,29,47,50,61,85,106],"the":[18,48,58,101,107],"physical":[19,67],"system":[20],"such":[21,37],"as":[22,38],"speed":[23,102],"and":[24,96,103],"energy":[25],"efficiency.":[26],"Proper":[27],"treatment":[28],"these":[30],"objective":[31],"functions,":[32],"while":[33],"commonplace":[34],"fields":[36],"economics,":[39],"is":[40,89],"often":[41],"overlooked":[42],"robotics.":[44],"Additionally,":[45],"robotic":[51],"systems":[52],"can":[53],"be":[54],"restricted":[55],"due":[56],"expensive":[59],"nature":[60],"testing":[62],"control":[63],"parameters":[64],"on":[65],"a":[66,72,82,111],"system.":[68],"This":[69,87],"paper":[70],"presents":[71],"multi-objective":[73],"(MOO)":[75],"algorithm":[76,88],"for":[77,110],"expensive-to-evaluate":[78],"functions":[79],"that":[80],"generates":[81],"Pareto":[83],"set":[84],"solutions.":[86],"compared":[90],"against":[91],"another":[92],"leading":[93],"MOO":[94],"algorithm,":[95],"then":[97],"used":[98],"optimize":[100],"head":[104],"stability":[105],"sidewinding":[108],"gait":[109],"snake":[112],"robot.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}