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
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Big data machine learning for flight planning
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Beyond the tracked line of sight: gaze-driven user models
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation