{"id":"https://openalex.org/W2766296157","doi":"https://doi.org/10.1145/3152494.3152502","title":"Bayesian optimisation with prior reuse for motion planning in robot soccer","display_name":"Bayesian optimisation with prior reuse for motion planning in robot soccer","publication_year":2018,"publication_date":"2018-01-11","ids":{"openalex":"https://openalex.org/W2766296157","doi":"https://doi.org/10.1145/3152494.3152502","mag":"2766296157"},"language":"en","primary_location":{"id":"doi:10.1145/3152494.3152502","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152494.3152502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM India Joint International Conference on Data Science and Management of Data","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1611.01851","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046946848","display_name":"Abhinav Agarwalla","orcid":"https://orcid.org/0000-0002-3389-5061"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhinav Agarwalla","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur","Indian Institute of Technology\u2013Kharagpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology\u2013Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110935245","display_name":"Arnav Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arnav Kumar Jain","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur","Indian Institute of Technology\u2013Kharagpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology\u2013Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071847235","display_name":"KV Manohar","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K V Manohar","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur","Indian Institute of Technology\u2013Kharagpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology\u2013Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054340091","display_name":"Arpit Saxena","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arpit Tarang Saxena","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur","Indian Institute of Technology\u2013Kharagpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology\u2013Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037492743","display_name":"Jayanta Mukhopadhyay","orcid":"https://orcid.org/0000-0002-2491-6860"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayanta Mukhopadhyay","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur","Indian Institute of Technology\u2013Kharagpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology\u2013Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00136647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983999729156494,"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":0.9983999729156494,"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.7618786096572876},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7288016080856323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651130318641663},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5466840267181396},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5145284533500671},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.48749804496765137},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.45089060068130493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4428226351737976},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.43338045477867126},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.4280337691307068},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3716847896575928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2881624102592468},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23017537593841553},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17512673139572144}],"concepts":[{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.7618786096572876},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7288016080856323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651130318641663},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5466840267181396},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5145284533500671},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.48749804496765137},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.45089060068130493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4428226351737976},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.43338045477867126},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.4280337691307068},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3716847896575928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2881624102592468},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23017537593841553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17512673139572144},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3152494.3152502","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152494.3152502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM India Joint International Conference on Data Science and Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1611.01851","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1611.01851","pdf_url":"https://arxiv.org/pdf/1611.01851","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2766296157","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1611.01851","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1611.01851","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1611.01851","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1611.01851","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1611.01851","pdf_url":"https://arxiv.org/pdf/1611.01851","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320336003","display_name":"Sponsored Research and Industrial Consultancy","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2766296157.pdf","grobid_xml":"https://content.openalex.org/works/W2766296157.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W10031084","https://openalex.org/W153294671","https://openalex.org/W770013183","https://openalex.org/W778742492","https://openalex.org/W1483202606","https://openalex.org/W1588959569","https://openalex.org/W1592052568","https://openalex.org/W1650035168","https://openalex.org/W1746819321","https://openalex.org/W1979556467","https://openalex.org/W1985196743","https://openalex.org/W2009906883","https://openalex.org/W2015616421","https://openalex.org/W2034966370","https://openalex.org/W2036101221","https://openalex.org/W2093716394","https://openalex.org/W2096649264","https://openalex.org/W2109483642","https://openalex.org/W2109606373","https://openalex.org/W2113526778","https://openalex.org/W2121204166","https://openalex.org/W2121658992","https://openalex.org/W2122111042","https://openalex.org/W2125409550","https://openalex.org/W2131505299","https://openalex.org/W2131627640","https://openalex.org/W2136213019","https://openalex.org/W2136625771","https://openalex.org/W2138537392","https://openalex.org/W2151616745","https://openalex.org/W2158285627","https://openalex.org/W2158970477","https://openalex.org/W2172153063","https://openalex.org/W2205716527","https://openalex.org/W2950182411","https://openalex.org/W4211049957"],"related_works":["https://openalex.org/W2963154721","https://openalex.org/W2062573767","https://openalex.org/W2100325583","https://openalex.org/W2811328151","https://openalex.org/W2982309288","https://openalex.org/W3093546165","https://openalex.org/W2473797434","https://openalex.org/W3014355579","https://openalex.org/W2041916443","https://openalex.org/W2129541274","https://openalex.org/W3137344536","https://openalex.org/W3010248143","https://openalex.org/W2905535483","https://openalex.org/W2783702722","https://openalex.org/W1528232587","https://openalex.org/W2602262851","https://openalex.org/W2184526939","https://openalex.org/W2036835578","https://openalex.org/W2043759910","https://openalex.org/W2242569809"],"abstract_inverted_index":{"We":[0],"integrate":[1],"learning":[2],"and":[3,43,46,98,101,127,130],"motion":[4],"planning":[5,55],"for":[6,29],"soccer":[7],"playing":[8],"differential":[9,115],"drive":[10,116],"robots":[11],"using":[12,17,62],"Bayesian":[13,27],"optimisation.":[14],"Trajectories":[15],"generated":[16],"end-slope":[18],"cubic":[19],"B\u00e9zier":[20],"splines":[21],"are":[22,48],"first":[23],"optimised":[24,38,69,78],"globally":[25],"through":[26,71],"optimisation":[28,87],"a":[30,51],"set":[31],"of":[32,73,85,139],"candidate":[33],"points":[34],"with":[35,41,94],"obstacles.":[36],"The":[37,53],"trajectories":[39],"along":[40],"robot":[42,95],"obstacle":[44],"positions":[45],"velocities":[47,92],"stored":[49],"in":[50,123,142],"database.":[52],"closest":[54],"situation":[56],"is":[57,67,105],"identified":[58],"from":[59,76],"the":[60,137],"database":[61],"k-Nearest":[63],"Neighbour":[64],"approach.":[65],"It":[66],"further":[68],"online":[70],"reuse":[72],"prior":[74],"information":[75],"previously":[77],"trajectory.":[79],"Our":[80,118],"approach":[81],"reduces":[82],"computation":[83],"time":[84,132],"trajectory":[86],"considerably.":[88],"Velocity":[89],"profiling":[90],"generates":[91],"consistent":[93],"kinodynamoic":[96],"constraints,":[97],"avoids":[99],"collision":[100],"slipping.":[102],"Extensive":[103],"testing":[104],"done":[106],"on":[107,113],"developed":[108],"simulator":[109],"as":[110,112],"well":[111],"physical":[114],"robots.":[117],"method":[119],"shows":[120],"marked":[121],"improvements":[122],"mitigating":[124],"tracking":[125],"error,":[126],"reducing":[128],"traversal":[129],"computational":[131],"over":[133],"competing":[134],"techniques":[135],"under":[136],"constraints":[138],"performing":[140],"tasks":[141],"real":[143],"time.":[144]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
