2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Big data machine learning for flight planning
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Fully bayesian vehicle tracking using extended object models
Fully bayesian vehicle tracking using extended object models
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Criticality labeling via optimal control and machine learning in automotive active safety
Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Beyond the tracked line of sight: gaze-driven user models
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
Uncertainty Calibration and its Application to Object Detection
Instance segmentation and 3D multi-object tracking for autonomous driving
Failure Prediction for Autonomous Systems
Physics-informed regression of implicitly-constrained robot dynamics
Robust and Probabilistic Motion Prediction for Intelligent Infrastructure Systems
Neural network full-body human predictive models and their use for coordinated robot motion planning
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Self-supervised learning of primitive-based robotic manipulation
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