Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
Beyond the tracked line of sight: gaze-driven user models
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Latent State-Space Models for Control
Big data machine learning for flight planning
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot
Learning Driver Behavior Models for Predicting Urban Traffic Situations
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Uncertainty Calibration and its Application to Object Detection
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Self-learning longitudinal control for on-road vehicles
Self-supervised learning of primitive-based robotic manipulation
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Instance segmentation and 3D multi-object tracking for autonomous driving
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Criticality labeling via optimal control and machine learning in automotive active safety
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Adaptive human-robot policy blending for shared control teleoperation
Learning continuous human-robot interactions from human-human demonstrations
Failure Prediction for Autonomous Systems
Computational methods for cognitive and cooperative robotics