Masterthesis - Reinforcement Learning approach for path following and base control - Stuttgart

Nur für registrierte Mitglieder Stuttgart, Deutschland

vor 1 Monat

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Job summary

Analyse des bestehenden Navigations-Stacks (Local-Controller/Path-following-Controller, Base Controller)
Entwicklung und Training eines Reinforcement-Learning-Ansatzes, der die klassische Trennung von Path-following-Controller und Base-Controller in einer gemeinsamen Policy abbilden
Untersuchung modellfreier und/oder modellbasierter RL-Verfahren hinsichtlich Stabilität, Datenbedarf und Übertragbarkeit
Integration in eine bestehende ROS2-Umgebung
Vergleich mit bestehenden Controllern bzgl. Pfadfehler, Stabilität und Inbetriebnahmezeit


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