Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Self-supervised learning of primitive-based robotic manipulation
Sampling-based exploration strategies for mobile robot autonomy
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Machine learning approaches for detection of robot errors in human brain signals
Learning motion skills for a humanoid robot
Learning continuous human-robot interactions from human-human demonstrations