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Machine learning approaches for detection of robot errors in human brain signals
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
Interorganisationales Lernen : ein kompetenzorientierter Ansatz zur Steuerung von Logistiknetzwerken
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Combining learning and structure for robotic manipulation
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Urban traffic control based on learning agents
Online Adaptive Fuzzy Neural Identification of a Piezoelectric Tube Actuator System
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot
Validity index in dynamic cell structures
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
A methodology for photometric validation in vehicles visual interactive systems
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Double-deck elevator systems using genetic network programming with reinforcement learning
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Application of time-variant predictive control to modelling driver steering skill
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Unconstrained licence plate and text localization and recognition
Adaptive human-robot policy blending for shared control teleoperation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Kernel regression for travel time estimation via convex optimization
Self-supervised learning of primitive-based robotic manipulation
Computational methods for cognitive and cooperative robotics
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Learning continuous human-robot interactions from human-human demonstrations
Adaptive fuzzy control of satellite attitude by reinforcement learning
Physics-informed regression of implicitly-constrained robot dynamics
Introduction to the Virtual Collection on Machine Learning in Aerospace
Case-based adaptation for automotive engine electronic control unit calibration
Reinforcement learning-based multi-agent system for network traffic signal control
Federated Learning for Spanish Ports as an Aid to Digitization
Neural network full-body human predictive models and their use for coordinated robot motion planning
UUV teams, control from a biological perspective