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Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
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
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Big data machine learning for flight planning
Regenerative braking and low vehicle noise of electric vehicles – implications for the driver
Beyond the tracked line of sight: gaze-driven user models
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning Driver Behavior Models for Predicting Urban Traffic Situations
Implicit cooperative decision-making for automated vehicles