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
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Latent State-Space Models for Control
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Computational methods for cognitive and cooperative robotics
Learning continuous human-robot interactions from human-human demonstrations
Physics-informed regression of implicitly-constrained robot dynamics
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Neural network full-body human predictive models and their use for coordinated robot motion planning
Sampling-based exploration strategies for mobile robot autonomy
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways