Machine learning approaches for detection of robot errors in human brain signals
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Combining learning and structure for robotic manipulation
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Big data machine learning for flight planning
Big data machine learning for flight planning
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
Simulation-driven machine learning for robotics and automation
Latent State-Space Models for Control
Beyond the tracked line of sight: gaze-driven user models
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Learning Driver Behavior Models for Predicting Urban Traffic Situations
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
A Software Scheme for UAV's Safe Landing Area Discovery
Self-supervised learning of primitive-based robotic manipulation
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
Fully bayesian vehicle tracking using extended object models
Fully bayesian vehicle tracking using extended object models
Uncertainty Calibration and its Application to Object Detection
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Self-learning longitudinal control for on-road vehicles
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Criticality labeling via optimal control and machine learning in automotive active safety