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Adaptive human-robot policy blending for shared control teleoperation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Learning motion skills for a humanoid robot
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
Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Optimizing inventory control through a data-driven and model-independent framework
Prediction of transonic wing buffet pressure based on deep learning
Brasil, Argentina y la guerra civil paraguaya de 1911/1912
Latent State-Space Models for Control
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
AI-based Wave Prediction in Complex Plasmas
Generalizability of Code Clone Detection on CodeBERT
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Federated Learning for Spanish Ports as an Aid to Digitization
Aerodynamics Analysis Tools for Flying Robots: Automated Tuft Recognition using Deep Learning
Autonome Instrumentierung von Altbergbau durch einen mobilen Manipulator
Progressive Bayesian Neural Networks
Explainable AI for precise fatigue crack detection
Machine Learning Based Approach to a Crane Load Estimation
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Combining learning and structure for robotic manipulation
The Causality for Climate Challenge
DOT: Dynamic Object Tracking for Visual SLAM
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Parareal with a learned coarse model for robotic manipulation
Maintenance Strategies Overlook for Devices Under Operation