3 papers
cs.RO2025
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning
Octavio Arriaga, Rebecca Adam, Melvin Laux +4
Real-world robotic applications, from autonomous exploration to assistive technologies, require adaptive, interpretable, and data-efficient learning paradigms. While deep learning…
cs.RO2023
CoBaIR: A Python Library for Context-Based Intention Recognition in Human-Robot-Interaction
Adrian Lubitz, Lisa Gutzeit, Frank Kirchner
Human-Robot Interaction (HRI) becomes more and more important in a world where robots integrate fast in all aspects of our lives but HRI applications depend massively on the utiliz…
cs.CV2022
The influence of labeling techniques in classifying human manipulation movement of different speed
Sadique Adnan Siddiqui, Lisa Gutzeit, Frank Kirchner
In this work, we investigate the influence of labeling methods on the classification of human movements on data recorded using a marker-based motion capture system. The dataset is…