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
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Combining learning and structure for robotic manipulation
The road to 'root cause': Shop-floor problem-solving at three auto assembly plants
Data mining for quality control: Burr detection in the drilling process
Electrophysiological correlates of reinforcement learning and credit assignment
Big data machine learning for flight planning
Big data machine learning for flight planning
Efficient and Stable Online Learning for Developmental Robots