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
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Latent State-Space Models for Control
Learning motion skills for a humanoid robot
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
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
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Self-supervised learning of primitive-based robotic manipulation
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
Adaptive human-robot policy blending for shared control teleoperation
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Unconstrained licence plate and text localization and recognition
A methodology for photometric validation in vehicles visual interactive systems
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Sampling-based exploration strategies for mobile robot autonomy
3D vehicle sensor based on monocular vision
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Lane change intent analysis using robust operators and sparse Bayesian learning
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose