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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
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Deep learning methods for automotive radar signal processing
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Computational methods for cognitive and cooperative robotics
Combining learning and structure for robotic manipulation