{"id":"https://openalex.org/W4287846086","doi":"https://doi.org/10.1109/icca54724.2022.9831883","title":"Temporal Logic Robot Task Planning with Active Acquisition of Information","display_name":"Temporal Logic Robot Task Planning with Active Acquisition of Information","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4287846086","doi":"https://doi.org/10.1109/icca54724.2022.9831883"},"language":"en","primary_location":{"id":"doi:10.1109/icca54724.2022.9831883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca54724.2022.9831883","pdf_url":null,"source":{"id":"https://openalex.org/S4363608132","display_name":"2022 IEEE 17th International Conference on Control & Automation (ICCA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 17th International Conference on Control & Automation (ICCA)","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/A5069491797","display_name":"Jiawei Zhao","orcid":"https://orcid.org/0000-0001-7119-4082"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation and Key Laboratory of System Control and Information Processing,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation and Key Laboratory of System Control and Information Processing,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000378797","display_name":"Xiangkang Yin","orcid":"https://orcid.org/0000-0002-7031-414X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Yin","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation and Key Laboratory of System Control and Information Processing,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation and Key Laboratory of System Control and Information Processing,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041126305","display_name":"Shaoyuan Li","orcid":"https://orcid.org/0000-0003-3427-2912"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyuan Li","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation and Key Laboratory of System Control and Information Processing,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation and Key Laboratory of System Control and Information Processing,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1014","last_page":"1020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9986000061035156,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9986000061035156,"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/T10142","display_name":"Formal Methods in Verification","score":0.9983999729156494,"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":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7245981693267822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6870946884155273},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6493556499481201},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6426598429679871},{"id":"https://openalex.org/keywords/active-perception","display_name":"Active perception","score":0.5793195366859436},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.548478901386261},{"id":"https://openalex.org/keywords/linear-temporal-logic","display_name":"Linear temporal logic","score":0.4965057969093323},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4909513294696808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4831504225730896},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47778066992759705},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4749705493450165},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.46426889300346375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.359445184469223},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35857564210891724},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15558511018753052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1509154736995697}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7245981693267822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6870946884155273},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6493556499481201},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6426598429679871},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.5793195366859436},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.548478901386261},{"id":"https://openalex.org/C4777664","wikidata":"https://www.wikidata.org/wiki/Q1536492","display_name":"Linear temporal logic","level":2,"score":0.4965057969093323},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4909513294696808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4831504225730896},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47778066992759705},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4749705493450165},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.46426889300346375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.359445184469223},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35857564210891724},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15558511018753052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1509154736995697},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca54724.2022.9831883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca54724.2022.9831883","pdf_url":null,"source":{"id":"https://openalex.org/S4363608132","display_name":"2022 IEEE 17th International Conference on Control & Automation (ICCA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 17th International Conference on Control & Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4388308858","https://openalex.org/W2017572878","https://openalex.org/W3022853057","https://openalex.org/W3049557657","https://openalex.org/W3150915502","https://openalex.org/W2377728464","https://openalex.org/W8302103","https://openalex.org/W2046645015","https://openalex.org/W2111158727","https://openalex.org/W2747473526"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,68,85,99,134],"mission":[4],"planning":[5,147,159],"algorithm":[6,125,155],"for":[7,112],"the":[8,27,37,42,58,76,79,90,113,117,122,138,153],"robot":[9,18,80,114],"to":[10,24,35,45,106,115,132,136],"operate":[11],"in":[12],"an":[13,108],"environment":[14,28],"with":[15,21,161],"interference.":[16],"The":[17,39],"is":[19,44],"equipped":[20],"proximity":[22,91],"sensor":[23],"roughly":[25],"estimate":[26],"and":[29,130,150],"can":[30,74,93,120,126,156],"apply":[31],"active":[32,82,109,165],"perception":[33,83,110,166],"action":[34],"detect":[36],"environment.":[38],"goal":[40],"of":[41,87],"robots":[43],"accomplish":[46,137],"complex":[47,139,158],"tasks,":[48],"captured":[49],"by":[50,61],"co-safe":[51],"Linear":[52],"Temporal":[53],"Logic":[54],"(scLTL)":[55],"formulas.":[56],"With":[57],"interference":[59],"created":[60],"environment,":[62],"general":[63],"observation-based":[64],"solution":[65],"will":[66,97],"cause":[67],"huge":[69],"cost":[70],"even":[71],"if":[72],"it":[73,96],"complete":[75],"task.":[77,140],"When":[78],"without":[81],"encounters":[84],"set":[86],"states":[88],"that":[89,152],"observation":[92],"not":[94],"tell,":[95],"choose":[98],"conservative":[100],"but":[101],"costlier":[102],"action.":[103,167],"We":[104,141],"aim":[105],"design":[107],"plan":[111],"offset":[116],"impact":[118],"which":[119],"reduce":[121],"cost.":[123],"Our":[124],"trade":[127],"off":[128],"security":[129],"cost,":[131],"find":[133],"strategy":[135],"illustrate":[142],"our":[143],"method":[144],"on":[145],"motion":[146],"case":[148],"studies":[149],"show":[151],"proposed":[154],"address":[157],"tasks":[160],"smaller":[162],"costs":[163],"through":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}