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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…