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Adaptive human-robot policy blending for shared control teleoperation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Self-supervised learning of primitive-based robotic manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Sampling-based exploration strategies for mobile robot autonomy
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Deep learning methods for automotive radar signal processing
Machine learning approaches for detection of robot errors in human brain signals