Machine learning approaches for detection of robot errors in human brain signals
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
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Big data machine learning for flight planning
Simulation-driven machine learning for robotics and automation
Learning motion skills for a humanoid robot
Latent State-Space Models for Control
Beyond the tracked line of sight: gaze-driven user models