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
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
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