An Intelligent Conversational Agent for Querying Satellite Manoeuvre Detections: a Case Study

An Intelligent Conversational Agent for Querying Satellite Manoeuvre Detections: a Case Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Case Report An Intelligent Conversational Agent for Querying Satellite Manoeuvre Detections: a Case Study Wathsala Karunarathne, David Peter Shorten, Matthew Roughan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5721763/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 06 Jun, 2025 Read the published version in Discover Artificial Intelligence → Version 1 posted 11 You are reading this latest preprint version Abstract Space Situational Awareness (SSA) focuses on the observation and monitoring of satellites primarily by earth-based sensors. An important component of SSA is the detection of satellite manoeuvres. Given the large amount of data produced by manoeuvre detection systems, the interpretation of this data by end users can be challenging. In recent years, the ability of conversational agents to facilitate user interaction with large datasets has increased dramatically. They are now widely deployed across domains such as healthcare, education, government service centres, and retail. To enhance the ability of users to best interact with manoeuvre detection systems, we have developed SatChat: an intelligent conversational agent for querying the results of satellite manoeuvre detection. SatChat is a text-based chat interface built that allows users to query the results of a manoeuvre detection system using natural language. The underlying models are open source. Experimental evaluations demonstrate SatChat’s accuracy (88.24%) and its ability to respond to complex queries. Moreover, our system can handle sensitive and confidential data without breaching privacy. This paper presents the results of deploying SatChat in conjunction with a particle filter based manoeuvre detection system. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 06 Jun, 2025 Read the published version in Discover Artificial Intelligence → Version 1 posted Editorial decision: Revision requested 27 Jan, 2025 Reviews received at journal 24 Jan, 2025 Reviewers agreed at journal 24 Jan, 2025 Reviews received at journal 21 Jan, 2025 Reviewers agreed at journal 20 Jan, 2025 Reviewers agreed at journal 20 Jan, 2025 Reviewers agreed at journal 20 Jan, 2025 Reviewers invited by journal 19 Jan, 2025 Editor assigned by journal 08 Jan, 2025 Submission checks completed at journal 06 Jan, 2025 First submitted to journal 27 Dec, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5721763","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Case Report","associatedPublications":[],"authors":[{"id":416950318,"identity":"1ac8b868-bb90-4703-9c51-bfedc6ddc1be","order_by":0,"name":"Wathsala Karunarathne","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABbklEQVRIie2SMWvCQBSAXzi4LDldL4j6F04CoYLVv5KQwaXQQhdBwUDhXGyzKk3bvyAI0q3KQVwCrhkrgpMFi1CEUunFgkprh24d8sHB4x0f7z3eA0hI+J9g+U4AtF0ijmqguCrAcJsdfjNQrNADBcdRKBX0J0XhXwocUdh4EkzXDZoHTcxX5LF8nn64Dp5f78tZD6HpcFGDXCqylNW+bxY6qqEFtOASbtyS0Cl2glS10B04RvcKs5EfgqFHFsrsFXPo4AxgqrhpMBDhiEGgmRkyQHZPABOEg92LLDhUJjOsrze04qbVlVSaLB8rH37TfhLqUpANNKWC3g+UyMGUcGq7pB1XEYzFiuIKu4c0WcUFi0UWPqhSiWayjRvqcC28VO74mBWCM1NvB2OjI7SLkS/H7IZTXvR3iu7Zc339Vjr1tGofXnid5URo0nWjnvVarf5y0SjlU2NHRIsfJ7C9gaPIlckd/fabkJCQkHCUTyYMfgyPjbotAAAAAElFTkSuQmCC","orcid":"","institution":"University of Adelaide","correspondingAuthor":true,"prefix":"","firstName":"Wathsala","middleName":"","lastName":"Karunarathne","suffix":""},{"id":416950319,"identity":"e7793cfb-de4c-4f97-9c7e-72765a637584","order_by":1,"name":"David Peter Shorten","email":"","orcid":"","institution":"University of Adelaide","correspondingAuthor":false,"prefix":"","firstName":"David","middleName":"Peter","lastName":"Shorten","suffix":""},{"id":416950320,"identity":"088ad06d-101d-40eb-b596-d359f0bcedc5","order_by":2,"name":"Matthew Roughan","email":"","orcid":"","institution":"University of Adelaide","correspondingAuthor":false,"prefix":"","firstName":"Matthew","middleName":"","lastName":"Roughan","suffix":""}],"badges":[],"createdAt":"2024-12-27 13:08:18","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5721763/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5721763/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s44163-025-00333-6","type":"published","date":"2025-06-06T15:57:46+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":84242596,"identity":"43745ca3-935a-4907-91e2-6c950c09755d","added_by":"auto","created_at":"2025-06-09 16:10:05","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":964319,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5721763/v1_covered_c701b249-4add-4e2b-9041-67e332b10c06.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An Intelligent Conversational Agent for Querying Satellite Manoeuvre Detections: a Case Study","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-artificial-intelligence","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"diai","sideBox":"Learn more about [Discover Artificial Intelligence](https://www.springer.com/44163)","snPcode":"","submissionUrl":"","title":"Discover Artificial Intelligence","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-5721763/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5721763/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Space Situational Awareness (SSA) focuses on the observation and monitoring of satellites primarily by earth-based sensors. 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