Machine learning approaches for detection of robot errors in human brain signals
Simulation-driven machine learning for robotics and automation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Electrophysiological correlates of reinforcement learning and credit assignment
Combining learning and structure for robotic manipulation
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Data mining for quality control: Burr detection in the drilling process
Big data machine learning for flight planning
Big data machine learning for flight planning
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen