Latent State-Space Models for Control
Learning continuous human-robot interactions from human-human demonstrations
Learning motion skills for a humanoid robot
Machine learning approaches for detection of robot errors in human brain signals
Neural network full-body human predictive models and their use for coordinated robot motion planning
Physics-informed regression of implicitly-constrained robot dynamics