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Combining learning and structure for robotic manipulation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Adaptive human-robot policy blending for shared control teleoperation
Self-supervised learning of primitive-based robotic manipulation
Computational methods for cognitive and cooperative robotics
Learning continuous human-robot interactions from human-human demonstrations
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Sampling-based exploration strategies for mobile robot autonomy