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
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
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
Learning Driver Behavior Models for Predicting Urban Traffic Situations
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
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Self-supervised learning of primitive-based robotic manipulation
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
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
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Self-learning longitudinal control for on-road vehicles
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Instance segmentation and 3D multi-object tracking for autonomous driving
Environment modeling for automated driving using grid-based and object-based representations
Physics-informed regression of implicitly-constrained robot dynamics
Adaptive human-robot policy blending for shared control teleoperation
Failure Prediction for Autonomous Systems
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Robust and Probabilistic Motion Prediction for Intelligent Infrastructure Systems