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Surface EMG for Force Control of Mechanical Hands
Preliminary evidence of dynamic muscular synergies in human grasping
Using Object Affordances to Improve Object Recognition
Ultrasound image features of the wrist are linearly related to finger positions
Prediction of finger movements using ultrasound images
Using ultrasound images of the forearm to predict finger positions
Generalization of human grasping for multi-fingered robot hands
Images in mind – Design metaphor and method to classify driver distraction in critical situations
Generalization of optimal motion trajectories for a biped walking machine based on machine learning
Fahrerverhaltensvorhersage an Kreisverkehren
Object Detection Based on Deep Learning and Context Information
Open Fusion Platform for Automated Driving Cars Based on Nvidia DPX2
Modeling Driver Behavior at Roundabouts: Results from a Field Study.
Crash Rate Estimation by Aerial Image Analysis
Deep recurrent neural networks for abstractive text summarization
Incremental Skill Learning of Stable Dynamical Systems
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
Event-Log Analyse mittels Clustering und Mustererkennung
Nachvollziehbarkeit und Begründbarkeit von Maschinellen Lernverfahren mithilfe von 3D-Visualisierung
On Policy Learning Robust to Irreversible Events: an Application to Robotic In-Hand Manipulation
Context based Text-generation using LSTM networks
Arm-Intent-Detection with Bio-Signals in Virtual Reality
Gumpy: a python toolbox suitable for hybrid brain-computer interfaces
Applicability of Deep Learned vs Traditional Features for Depth Based Classification
Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry
Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality
Learning haptic exploration schemes for adaptive task execution
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
Visualizing Convolutional Neural Networks with Virtual Reality
Modelling and Simulation of Spacecraft Hardware based on Machine Learning Techniques
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Improving the Explainability of Autonomous and Intelligent Systems with Conversational Interfaces
Clustering of paraffin-based hybrid rocket fuels combustion data
Intuitive Programming of Conditional Tasks by Demonstration of Multiple Solutions
Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs
HPC and HPDA Projects in DLR Aeronautics and Space Research
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
Collaborative Programming of Conditional Robot Tasks
The Causality for Climate Challenge
Tutorial: Natural language processing with Python