Design of ROS Robot Tracing Navigation Control System Based on Virtual Navigation Paths

Design of ROS Robot Tracing Navigation Control System Based on Virtual Navigation Paths | 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 Research Article Design of ROS Robot Tracing Navigation Control System Based on Virtual Navigation Paths Lijun Zhou, Gang Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4662734/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract With the rapid development of robot technology, more and more robots are being applied to various complex environments, such as intelligent transport vehicles in the logistics industry, greeting robots in the service industry, and sweeping robots. These robots need to move along specific routes, so it is crucial to develop an effective robot tracing navigation control system. In this paper, a robot tracing navigation control system based on virtual navigation paths is proposed to address the problems of existing robot tracing navigation systems, which are susceptible to environmental influences, have poor robustness, poor controllability, and low navigation accuracy. The system obtains the surrounding environmental information of the robot, builds a map using Simultaneous Localization and Mapping (SLAM) methods, and builds a virtual navigation route based on this map. It then adjusts the motion state of the robot in real-time to move along the virtual navigation path. Experimental results show that the tracing navigation method of this system has strong robustness, high navigation accuracy, and good controllability, making it suitable for robot tracing navigation in complex environments. Robots Tracing Navigation Virtual Navigation Paths SLAM Path Planning Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4662734","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":331439508,"identity":"20a54a6e-f23f-4574-844d-fa369d6dd8b4","order_by":0,"name":"Lijun Zhou","email":"","orcid":"","institution":"Baicheng Normal University","correspondingAuthor":false,"prefix":"","firstName":"Lijun","middleName":"","lastName":"Zhou","suffix":""},{"id":331439509,"identity":"38bc7dce-0546-4494-a958-029cdde6f130","order_by":1,"name":"Gang Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3UlEQVRIie3RsQrCMBCA4ZRCXaLdJEVoN+crQqc+TETIVF2E0s2CEDd1VOzDRAq6ROeKi+4O7jpIx06Jm2C+/eeSO4QM4wc5rdX99oR45tr2/qaVdLC0w03GqLfgI9BKfJI4PSxLClL2id7D8EmQNmcTqBIne6QocLtCkbSWFDweT71qfLgUZxRud1Q1RQANObOW1YRd2xxRuKoSQkEMeWnlVRJNNZMkzIUsh2spI1svwYeRlWdsUC/ZK85E/ZdgMT++3hD79SmfjzQO3J4iacKO3mkaybeFYRjGP/gA6T1IaHVaqvQAAAAASUVORK5CYII=","orcid":"","institution":"Baicheng Normal University","correspondingAuthor":true,"prefix":"","firstName":"Gang","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2024-06-30 12:47:04","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4662734/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4662734/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":62721675,"identity":"0dcba4d4-5485-4672-9465-5304b2899fc1","added_by":"auto","created_at":"2024-08-18 16:01:42","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":582456,"visible":true,"origin":"","legend":"","description":"","filename":"DesignofROSRobotTracingNavigationControlSystem.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4662734/v1_covered_8db816d0-7e20-4c18-9dad-4601fe856349.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Design of ROS Robot Tracing Navigation Control System Based on Virtual Navigation Paths","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Robots, Tracing Navigation, Virtual Navigation Paths, SLAM, Path Planning","lastPublishedDoi":"10.21203/rs.3.rs-4662734/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4662734/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWith the rapid development of robot technology, more and more robots are being applied to various complex environments, such as intelligent transport vehicles in the logistics industry, greeting robots in the service industry, and sweeping robots. 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