3 papers
cs.RO2025
LiHRA: A LiDAR-Based HRI Dataset for Automated Risk Monitoring Methods
Frederik Plahl, Georgios Katranis, Ilshat Mamaev +1
We present LiHRA, a novel dataset designed to facilitate the development of automated, learning-based, or classical risk monitoring (RM) methods for Human-Robot Interaction (HRI) s…
cs.CV2025
Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing
Georg Siedel, Ekagra Gupta, Weijia Shao +2
Soft augmentation regularizes the supervised learning process of image classifiers by reducing label confidence of a training sample based on the magnitude of random-crop augmentat…
cs.RO2025
Dynamic Risk Assessment for Human-Robot Collaboration Using a Heuristics-based Approach
Georgios Katranis, Frederik Plahl, Joachim Grimstadt +3
Human-robot collaboration (HRC) introduces significant safety challenges, particularly in protecting human operators working alongside collaborative robots (cobots). While current…