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Maschinelles Lernen
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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
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
Learning motion skills for a humanoid robot
Point cloud processing for environmental analysis in Autonomous Driving using Deep Learning
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Innovation Paths for Machine Learning in Robotics
Latent State-Space Models for Control
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
A camera self-health-maintenance system based on sensor artificial intelligence