{"id":"https://openalex.org/W4413393235","doi":"https://doi.org/10.23919/acc63710.2025.11107495","title":"Attitude Motion Planning with Moving Keep-out Cones via Invariant Sets","display_name":"Attitude Motion Planning with Moving Keep-out Cones via Invariant Sets","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4413393235","doi":"https://doi.org/10.23919/acc63710.2025.11107495"},"language":"en","primary_location":{"id":"doi:10.23919/acc63710.2025.11107495","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","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/A5119374953","display_name":"Trazon Jimerson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trazon Jimerson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072891938","display_name":"Claus Danielson","orcid":"https://orcid.org/0000-0002-2317-3014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Claus Danielson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17361214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4928","last_page":"4933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.9887999892234802,"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/T12158","display_name":"Guidance and Control Systems","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.581882119178772},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5626627802848816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5312238335609436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5295335054397583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44456854462623596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22341826558113098},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.19413155317306519}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.581882119178772},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5626627802848816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5312238335609436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5295335054397583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44456854462623596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22341826558113098},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.19413155317306519},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc63710.2025.11107495","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1864112212","https://openalex.org/W2141003104","https://openalex.org/W2789442532","https://openalex.org/W2964350522","https://openalex.org/W2982037911","https://openalex.org/W3041214784","https://openalex.org/W4205424091","https://openalex.org/W4387342296","https://openalex.org/W4389799474","https://openalex.org/W4390204405"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,58],"paper":[1],"adapts":[2],"the":[3,33,60,77,80,91,95,106,112,134,153],"invariant-set":[4],"motion":[5,11,148],"planner":[6],"(ISMP)":[7],"for":[8,88],"spacecraft":[9],"attitude":[10,147],"planning":[12,127,149],"to":[13,36,39,54,62,132,144],"avoid":[14],"moving":[15,56,67,156],"keep-out":[16,68],"zones.":[17,69],"The":[18],"ISMP":[19,61],"is":[20],"a":[21,40,48,102,122,126],"motion-planning":[22],"algorithm":[23],"that":[24,43,51,75],"uses":[25],"constraint":[26],"admissible":[27],"positive":[28],"invariant":[29],"(CAPI)":[30],"sets":[31,110],"of":[32,79,94,111,136,155],"closed-loop":[34,97],"dynamics":[35],"find":[37],"paths":[38,65],"desired":[41],"orientation":[42],"avoids":[44],"obstacles.":[45,57,157],"We":[46,70,140],"construct":[47,101],"multi-stage":[49,81,123],"reachability-graph":[50,104,120,124],"incorporates":[52],"time":[53,86],"model":[55],"allows":[59],"plan":[63],"safe":[64,146],"around":[66],"present":[71],"three":[72],"key":[73],"contributions":[74],"enable":[76],"construction":[78],"reachable-graph.":[82],"First,":[83],"we":[84,100,116],"establish":[85],"bounds":[87],"maneuvers":[89],"using":[90,105],"exponential":[92],"stability":[93],"nonlinear":[96],"dynamics.":[98],"Second,":[99],"single-stage":[103,119],"one-step":[107],"backward":[108],"reachable":[109],"CAPI":[113],"sets.":[114],"Finally,":[115],"expand":[117],"this":[118],"into":[121],"over":[125],"horizon,":[128],"which":[129],"enables":[130],"us":[131],"certify":[133],"safety":[135],"nodes":[137],"during":[138],"time-intervals.":[139],"provide":[141],"simulation":[142],"results":[143],"demonstrate":[145],"and":[150],"control":[151],"in":[152],"presence":[154]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
