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Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Latent State-Space Models for Control
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Self-supervised learning of primitive-based robotic manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning