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Using ultrasound images of the forearm to predict finger positions
Studying the capabilities of the analytical system based on the machine learning method
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
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Learning motion skills for a humanoid robot
Learning efficient haptic shape exploration with a rigid tactile sensor array
Learning continuous human-robot interactions from human-human demonstrations
Latent State-Space Models for Control
How machine learning informs ride-hailing services: A survey
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience