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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
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Combining learning and structure for robotic manipulation
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Online Adaptive Fuzzy Neural Identification of a Piezoelectric Tube Actuator System
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
A reinforcement learning model for personalized driving policies identification
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
Urban traffic control based on learning agents
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
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
Case-based adaptation for automotive engine electronic control unit calibration
Reinforcement learning-based multi-agent system for network traffic signal control
Neural network full-body human predictive models and their use for coordinated robot motion planning
Date Estimation in the Wild Dataset
UUV teams, control from a biological perspective
Autonome Instrumentierung von Altbergbau durch einen mobilen Manipulator
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Evolutionary Computation Methods for Helicopter Loads Estimation
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp