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Artificial Intelligence for Non-Contact-Based Driver Health Monitoring
Learning continuous human-robot interactions from human-human demonstrations
Environment modeling for automated driving using grid-based and object-based representations
Deep Reinforcement Learning for Cavity Filter Tuning
Physics-informed regression of implicitly-constrained robot dynamics
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Deep learning of user behavior in shared spaces
Deep learning of user behavior in shared spaces
Neural network full-body human predictive models and their use for coordinated robot motion planning
Learning algorithms for robotics systems
Distributed Optimisation in Multi-Agent Systems Through Deep Reinforcement Learning
Störungsfrüherkennung an Kreiselpumpen mit Verfahren des maschinellen Lernens
Dynamic movement primitives andreinforcement learning for adapting alearned skill