Fallstudie: 3D-visuelle Hindernisvermeidung für einen humanoiden Roboter mit Rädern
Eine Fallstudie zur MRDVS S3 RGB-D-ToF-Kamera für die Wahrnehmung von Hindernissen in Bodennähe auf einem humanoiden VersaBot-Roboter mit Rädern.
Wenn sich ein humanoider Roboter mit Rädern durch eine Fabrik oder ein Lager bewegt, muss er Hindernisse in Bodennähe und in seiner Umgebung erfassen. VersaBot montiert eine MRDVS S3 RGB-D-ToF-Kamera am unteren Teil des Roboters, um Umgebungsdaten in der Nähe seines Fahrwegs zu erfassen.
Die S3 erfasst RGB-Bilder und Tiefendaten gemeinsam und liefert Informationen zu Entfernung, Farbe und Textur. Die niedrige Montage der Kamera bringt Hindernisse in Bodennähe in das Sichtfeld und stellt 3D-Wahrnehmungseingaben für die übergeordnete Vermeidungsrichtlinie bereit.
Abdeckung in Bodennähe: Erkennen Sie kleine Hindernisse und Objekte am Rand des Fahrwegs.
Dynamische Umgebungen: Verwenden Sie Wahrnehmungsdaten, um Personen, Wagen und andere bewegliche Objekte während des Betriebs zu erkennen.
Anpassung an den Standort: Sichtfeld, Fahrzeuggeschwindigkeit, Hindernismaterial, Beleuchtung und Chassisvibration beeinflussen die tatsächliche Leistung.
Die 3D-Kamera ist ein Teil der Wahrnehmungskette. Konfigurieren und validieren Sie Vermeidungs- und Sicherheitsrichtlinien auf Fahrzeugebene anhand von Betriebsgeschwindigkeit, Bremsfähigkeit, toten Winkeln und einer Risikobewertung vor Ort.
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