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Adaptive human-robot policy blending for shared control teleoperation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
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
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
Autonome Instrumentierung von Altbergbau durch einen mobilen Manipulator
Deep learning methods for automotive radar signal processing
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
Nachhaltige Mobilität, Energiewende und Industrie 4.0 : Beiträge und Positionen