Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Learning motion skills for a humanoid robot
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Sampling-based exploration strategies for mobile robot autonomy
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Latent State-Space Models for Control
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Machine learning approaches for detection of robot errors in human brain signals
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Combining learning and structure for robotic manipulation
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Computational methods for cognitive and cooperative robotics
Learning continuous human-robot interactions from human-human demonstrations
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Automatic Geographic Enrichment by Multi-modal Bike Sensing
A Software Scheme for UAV's Safe Landing Area Discovery
The path inference filter: Model-based low-latency map matching of probe vehicle data
Anwendungen akustischer Ereigniserkennung im Automobil
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A methodology for photometric validation in vehicles visual interactive systems
Evolutionary Computation Methods for Helicopter Loads Estimation
Fast, Scalable, Model-free Trajectory Optimization for Wireless Data Ferries
An architectural framework for self-configuration and self-improvement at runtime
Case-based adaptation for automotive engine electronic control unit calibration
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems