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
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Latent State-Space Models for Control
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
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
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