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of our team. Your future tasks: Active participation in research and teaching, which means: • You conduct research on the topic of your thesis. • You contribute to the further development of ICON
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• Computer literacy (MS-Office; Imaging Software) • Basic experience in academic writing • Didactic competences / experience with e-learning • Excellent command of written and spoken English (C1 Level
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in the context of the successful completion of your thesis. Requirements: You are enrolled in the doctoral programme of DSPL45 and a doctoral student member of VISESS who agreed to the Code of Good
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, the encoded motion data is built using dynamic motion primitives. A Machine-Learning approach is trained that takes into account both the encoding motion data and the image data to adapt learned skills
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are learned using a fixed procedure, and the latent variable has high dimensionality. Recently, diffusion-based generative models have proven successful in image processing, in reinforcement learning and