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Maschinelles Lernen
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keywords:("Maschinelles Lernen")
Machine learning approaches for detection of robot errors in human brain signals
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Combining learning and structure for robotic manipulation
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Computational methods for cognitive and cooperative robotics
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
Learning continuous human-robot interactions from human-human demonstrations
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
AI-based Wave Prediction in Complex Plasmas
Sampling-based exploration strategies for mobile robot autonomy
Learning motion skills for a humanoid robot
An architectural framework for self-configuration and self-improvement at runtime