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
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
Big data machine learning for flight planning
Big data machine learning for flight planning
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Beyond the tracked line of sight: gaze-driven user models
Latent State-Space Models for Control
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
Learning motion skills for a humanoid robot
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Uncertainty Calibration and its Application to Object Detection
Simulation-driven machine learning for robotics and automation
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Self-learning longitudinal control for on-road vehicles
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Instance segmentation and 3D multi-object tracking for autonomous driving
A Software Scheme for UAV's Safe Landing Area Discovery
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Learning Driver Behavior Models for Predicting Urban Traffic Situations
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Criticality labeling via optimal control and machine learning in automotive active safety
Learning continuous human-robot interactions from human-human demonstrations
Adaptive human-robot policy blending for shared control teleoperation
Urban traffic control based on learning agents
Validating Machine Learning-based Highly Automated Driving Functions by Diversity