Engineer Perception methods for the navigation of humanoid robots

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du Methoden zur Tiefenschätzung aus Stereo-Bildern und zur Echtzeit-Erstellung von Höhenkarten für humanoide Roboter, unterstützt durch generative KI-Technologien. Job Zusammenfassung In dieser Rolle entwickelst du Methoden zur Tiefenschätzung aus Stereo-Bildern und zur Echtzeit-Erstellung von Höhenkarten für humanoide Roboter, unterstützt durch generative KI-Technologien. Deine Rolle im Team The Perception and Cognition department is concerned with providing robotic systems with the ability of visual perception and mastering the associated cognitive tasks. Perception and cognition are therefore elementary components for both teleoperated assistance and autonomous robot systems, as they make reactive behaviour, attention control and situation interpretation possible in the first place. One fundamental capability is depth estimation from stereo images, which is already being used in a variety of ways at the institute. Recognition of perception methods for whole-body loco manipulation. Recognition of suitable foot contact points. Recognition of hand positions and grasps in the environment. Develop methods from the field of generative AI, especially those based on diffusion models. Map creation and localisation with the help of humanoid robots. Development of methods for the real-time creation of elevation maps. Development of semantic segmentations and for recognising suitable footfall areas from 3D point cloud data. Unsere Erwartungen an dich Ausbildung Completed scientific university degree (Master's/University Diploma) in engineering (e.g. from the fields of engineering, robotics, computer science) or other degree programmes relevant to the job with a focus on signal and image processing. Qualifikationen Very good programming skills in C++/Python. Strong problem-solving skills at the interface between hardware and software. Fluent in written and spoken English. Ability to work effectively in interdisciplinary teams. Erfahrung Practical experience in the field of software engineering. Unser Angebot If you have any questions about this position (Vacancy-ID 4852) please contact: Prof. Dr. Rudolph Triebel Tel.: +49 8153 28 4289. Benefits Work-Life-Integration 🏠 Home Office ⏰ Flexible Arbeitszeiten Themen mit denen du dich im Job beschäftigst Cloud Computing AI Robotics Metadaten Level: Erfahren Job Feld: Software, Embedded Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Land-, Forstwirtschaft Ort: Seefeld | 82229 | Deutschland

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