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Research Topics

Human-Machine Interaction

Interactive and user-friendly interfaces form the basis of multimodal human-technology interaction. Personalized dialogue systems combine speech, gestures and facial expressions with physical interaction. This involves the use of user, task and domain models in order to make dialogue behaviour as natural as possible and dialogue comprehension stable even under difficult conditions. Future user interface concepts are detached from the usual mouse and keyboard paradigms and enable intuitive, gesture-based control.

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Projects

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  1. ActGPT - Adaptive robot ConTrol with Generative Pre-trained Transformers

    Currently, we are seeing an explosion in AI, primarily led by the advances in reinforcement learning (RL) methods

    as well as transformer-based neural networks. For example, large language models…

  2. COPPER - Continual Optical Perception for Dynamic Environments in and around of Vehicles

    The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In…

  3. EYE-TEACH - Eye-tracking and AI for Enhanced Teaching

    The concept being developed relates to researching the intersection of AI, Eye Tracking, and Literacy Development/ Reading Skill Development. AI systems offer potential benefits for supporting…

  4. CoEx - Entwicklung von Methoden zur Co-Adaptation für die Ermöglichung und Verbesserung von Exoskelett-basiertee (Tele-) Rehabilitation

    Co-adaptation to enable and improve exoskeleton-based (tele-) rehabilitation

     

  5. RAASCEMAN - Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks

    The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate…