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Evaluation of the Explanatory Power Of Layer-wise Relevance Propagation using Adversarial Examples
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Speeding Up Optimization-based Motion Planning through Deep Learning
Using Predictive Uncertainty for Cleaning Noisy Annotations
Traffic Safety at German Roundabouts—A Replication Study
Representation Learning for Robot Keypoint Detection using Prior Kinematic Knowledge
Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise
Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography
Experimental Closed-Loop Excitation of Nonlinear Normal Modes on an Elastic Industrial Robot
Prediction of fatigue failure in small-scale butt-welded joints with explainable machine learning
Reinforcement Learning-based Traffic Control: Mitigating the Adverse Impacts of Control Transitions
Refining action segmentation with hierarchical video representations