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Madueke_Sim (6DOF) is an open-source project utilizing ESP32 microcontrollers to control six servo motors for immersive motion simulation experiences. With plug-and-play support for AASD-15A servo drivers and versatile firmware configurations, it offers a customizable and accessible solution for motion enthusiasts.
This is my Master thesis which evaluates 6D pose estimating deep learning methods for usage in an AR use case. It includes 2 new proxies for Gabriel in order to make the Deep Learning methods usable in AR-enabled devices.