Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Beyond the tracked line of sight: gaze-driven user models
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Simulation-driven machine learning for robotics and automation
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Latent State-Space Models for Control
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
Big data machine learning for flight planning
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation