{"id":7107,"date":"2026-07-30T00:53:41","date_gmt":"2026-07-30T00:53:41","guid":{"rendered":"https:\/\/aiper.com\/blogs\/?page_id=7107"},"modified":"2026-10-22T00:42:21","modified_gmt":"2026-10-22T00:42:21","slug":"s3-obstacle-avoidance","status":"publish","type":"page","link":"https:\/\/aiper.com\/blogs\/de\/fehlerbehebung\/s3-obstacle-avoidance\/","title":{"rendered":"Scuba S3: Hinderniserkennung funktioniert nicht \u2014 Diagnose &#038; L\u00f6sung"},"content":{"rendered":"\n<div class=\"aiper-tc-guide\">\n<style>\n    .aiper-tc-guide { --p:#f43f5e; --a:#e11d48; }\n\n    .aiper-tc-guide {\n        max-width: 780px;\n        margin: 0 auto;\n        font-family: 'Inter','Segoe UI',system-ui,-apple-system,sans-serif;\n        color: #2c3e50;\n        line-height: 1.6;\n    }\n    .aiper-tc-guide * { box-sizing: border-box; margin: 0; padding: 0; }\n\n    .aiper-tc-guide .container {\n        display: flex; flex-direction: column; gap: 28px;\n        padding: 40px 20px 60px; background: #f3f6f9; 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}\n        .aiper-tc-guide .hero-card .hero-title { font-size: 1.4rem; }\n        .aiper-tc-guide .container { padding: 24px 14px 40px; gap: 20px; }\n        .aiper-tc-guide .spec-table { font-size: .8rem; }\n        .aiper-tc-guide .spec-table th, .aiper-tc-guide .spec-table td { padding: 8px 10px; }\n    }\n\n    \/* Back-nav *\/\n    .aiper-tc-guide .tc-back-nav {\n        padding: 14px 0 4px;\n        border-top: 1px solid #edf2f7;\n        margin-top: 4px;\n    }\n    .aiper-tc-guide .tc-back-nav a {\n        font-size: .85rem; font-weight: 600; color: var(--a);\n        text-decoration: none;\n    }\n    .aiper-tc-guide .tc-back-nav a:hover { text-decoration: underline; }\n<\/style>\n<div class=\"container\">\n    <div class=\"hero-card\">\n        <span class=\"eyebrow\">Aiper Scuba S3<\/span>\n        <h1 class=\"hero-title\">Scuba S3: Hinderniserkennung funktioniert nicht<\/h1>\n        <p class=\"subtitle\">Der S3 erkennt Hindernisse mit ToF-Sensoren (Time-of-Flight). St\u00f6\u00dft der Roboter immer wieder gegen W\u00e4nde oder Hindernisse, m\u00fcssen vermutlich die Sensorlinsen gereinigt werden \u2014 oder es liegt ein Hardwarefehler vor.<\/p>\n    <\/div>\n\n    <div class=\"answer-card\">\n        <span class=\"label-badge\"><span class=\"dot\"><\/span> Direkte Antwort<\/span>\n        <p>Der Scuba S3 erkennt und umf\u00e4hrt Hindernisse mit <strong>ToF-Sensoren (Time-of-Flight)<\/strong>. St\u00f6\u00dft der Roboter wiederholt gegen W\u00e4nde, Stufen oder andere Hindernisse, ist die h\u00e4ufigste Ursache eine <strong>verschmutzte Sensorlinse<\/strong>. Wischen Sie alle Sensorlinsen vorsichtig mit einem weichen, trockenen Mikrofasertuch ab \u2014 verwenden Sie kein Wasser, kein Reinigungsmittel und keine scheuernden Materialien. Stellt die Reinigung das normale Ausweichverhalten nicht wieder her, hat das Sensormodul m\u00f6glicherweise einen Hardwarefehler, der den After-Sales-Service erfordert.<\/p>\n    <\/div>\n    <div class=\"section-card\">\n        <div class=\"section-icon icon-steps\"><\/div>\n        <h2>So reinigen Sie die ToF-Sensorlinsen<\/h2>\n        <p>Suchen Sie die ToF-Sensorlinsen am Roboterk\u00f6rper \u2014 es sind kleine, runde, dunkle Fenster, meist an der Vorderseite und an den Seiten. Verwenden Sie ein <strong>sauberes, trockenes Mikrofasertuch<\/strong> (wie f\u00fcr Brillengl\u00e4ser). Wischen Sie jede Linse vorsichtig in kreisenden Bewegungen ab. Verwenden Sie weder Wasser noch Glasreiniger oder L\u00f6sungsmittel \u2014 sie k\u00f6nnen R\u00fcckst\u00e4nde hinterlassen, die die Sensorleistung verschlechtern.<\/p>\n    <\/div>\n    <div class=\"section-card\">\n        <div class=\"section-icon icon-info\"><\/div>\n        <h2>Normales und fehlerhaftes Ausweichverhalten<\/h2>\n        <p>Bei sauberen Sensoren sollte der S3 langsamer werden und die Richtung \u00e4ndern, wenn er sich einer Wand, einer Stufe oder einem gro\u00dfen Hindernis bis auf kurze Distanz n\u00e4hert. Sehr kleine Gegenst\u00e4nde erkennt er unter Umst\u00e4nden nicht \u2014 der ToF-Sensor hat einen Mindestschwellenwert f\u00fcr die Erkennung. Prallt der Roboter trotz sauberer Sensoren mit voller Geschwindigkeit auf gro\u00dfe, offensichtliche Hindernisse, ist das ToF-Modul m\u00f6glicherweise defekt.<\/p>\n    <\/div>\n    <div class=\"section-card\">\n        <div class=\"section-icon icon-warn\"><\/div>\n        <h2>Wann Sie sich an den Support wenden<\/h2>\n        <p>Stellt die Reinigung aller Sensorlinsen die normale Hinderniserkennung nicht wieder her, hat das ToF-Sensormodul m\u00f6glicherweise einen <strong>Hardwarefehler<\/strong>. Wenden Sie sich mit der Seriennummer (SN) Ihres Ger\u00e4ts und einer Beschreibung des Verhaltens (z. B. \u201eRoboter f\u00e4hrt wiederholt mit voller Geschwindigkeit gegen dieselbe Wand\u201c) an den <a href=\"https:\/\/aiper.com\/de\/kontakt\/\">After-Sales-Support von Aiper<\/a>. Videoaufnahmen des Kollisionsverhaltens helfen bei der Diagnose. Versuchen Sie nicht, das Sensorgeh\u00e4use zu zerlegen \u2014 dadurch erlischt die Garantie.<\/p>\n    <\/div>\n\n    <div class=\"tc-back-nav\">\n        <a href=\"https:\/\/aiper.com\/blogs\/de\/fehlerbehebung\/\">&larr; Alle Fehlerbehebungsanleitungen<\/a>\n    <\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Aiper Scuba S3 Scuba S3: Hinderniserkennung funktioniert nicht Der S3 erkennt Hindernisse mit ToF-Sensoren (Time-of-Flight). St\u00f6\u00dft der Roboter immer wieder gegen W\u00e4nde oder Hindernisse, m\u00fcssen vermutlich die Sensorlinsen gereinigt werden \u2014 oder es liegt ein Hardwarefehler vor. Direkte Antwort Der Scuba S3 erkennt und umf\u00e4hrt Hindernisse mit ToF-Sensoren (Time-of-Flight). St\u00f6\u00dft der Roboter wiederholt gegen W\u00e4nde,&#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":3597,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"class_list":["post-7107","page","type-page","status-publish","hentry"],"lang":"de","translations":{"de":7107,"en":6985,"fr":7126,"es":7094},"_links":{"self":[{"href":"https:\/\/aiper.com\/blogs\/wp-json\/wp\/v2\/pages\/7107","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiper.com\/blogs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aiper.com\/blogs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aiper.com\/blogs\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/aiper.com\/blogs\/wp-json\/wp\/v2\/comments?post=7107"}],"version-history":[{"count":4,"href":"https:\/\/aiper.com\/blogs\/wp-json\/wp\/v2\/pages\/7107\/revisions"}],"predecessor-version":[{"id":12062,"href":"https:\/\/aiper.com\/blogs\/wp-json\/wp\/v2\/pages\/7107\/revisions\/12062"}],"up":[{"embeddable":true,"href":"https:\/\/aiper.com\/blogs\/wp-json\/wp\/v2\/pages\/3597"}],"wp:attachment":[{"href":"https:\/\/aiper.com\/blogs\/wp-json\/wp\/v2\/media?parent=7107"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}