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Maschinelles Lernen
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Adaptive human-robot policy blending for shared control teleoperation
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Revisiting residential self-selection and travel behavior connection using a double machine learning
Fake it till you make it: Synthetic data for emerging carsharing programs
Individual and synergistic associations among transit allowance, land use, and transit commuting
Built environment’s nonlinear effects on mode shares around BRT and rail stations
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
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Sampling-based exploration strategies for mobile robot autonomy
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Learning motion skills for a humanoid robot