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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
Online Adaptive Fuzzy Neural Identification of a Piezoelectric Tube Actuator System
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Urban traffic control based on learning agents
Learning motion skills for a humanoid robot
Validity index in dynamic cell structures
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
A methodology for photometric validation in vehicles visual interactive systems
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Double-deck elevator systems using genetic network programming with reinforcement learning
Application of time-variant predictive control to modelling driver steering skill
Unconstrained licence plate and text localization and recognition
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
Adaptive fuzzy control of satellite attitude by reinforcement learning
Kernel regression for travel time estimation via convex optimization
Computational methods for cognitive and cooperative robotics
Reinforcement learning-based multi-agent system for network traffic signal control
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Learning continuous human-robot interactions from human-human demonstrations
Physics-informed regression of implicitly-constrained robot dynamics
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
Neural network full-body human predictive models and their use for coordinated robot motion planning
Case-based adaptation for automotive engine electronic control unit calibration
Evolutionary Computation Methods for Helicopter Loads Estimation
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Autonome Instrumentierung von Altbergbau durch einen mobilen Manipulator
Research on availability of satellite images based on immune feedback learning fuzzy neural network
Neural networks for continuous online learning and control
UUV teams, control from a biological perspective