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Tracking Head Yaw by Interpolation of Template Responses
Local learning for visual robotic systems ; Lokales Lernen für visuell kontrollierte Roboter
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Towards behaviour inference in smart environments
Synthesizing and Editing Human Motion from Sparse User Inputs ; 적은 수의 사용자 입력으로부터 인간 동작의 합성 및 편집
A machine learning approach to visual perception of forest trails for mobile robots
New reinforcement learning algorithm for robot soccer
Deep Reinforcement Learning: A Brief Survey
Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control
Context based Text-generation using LSTM networks
Deep recurrent neural networks for abstractive text summarization
Detection and Localization of Traffic Signals with GPS Floating Car Data and Random Forest
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Deep Reinforcement Learning for Cavity Filter Tuning
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Robot-human-learning for robotic picking processes
Robot-human-learning for robotic picking processes
Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks
Fully bayesian vehicle tracking using extended object models
HPC and HPDA Projects in DLR Aeronautics and Space Research
Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution
Tutorial: Natural language processing with Python
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Introduction to Robot Introspection
Nonparametric Bayesian Method for Robot Anomaly Monitoring
Nonparametric Bayesian Method for Robot Anomaly Diagnose
Nonparametric Bayesian Modeling of Multimodal Time Series
Learning Policy for Robot Anomaly Recovery Based on Robot Introspection
Incremental Learning Robot Task Representation and Identification
Machine learning-based image processing for human-robot collaboration
Assessing the Role of Machine Learning in Robotics
Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms
Autonomous vehicles for micro-mobility
Using machine learning to help find paths through the map in Slay the Spire
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien