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cs.RO2026

Theory of Mind for Explainable Human-Robot Interaction

Marie S. Bauer, Julia Gachot, Matthias Kerzel +2

Within the context of human-robot interaction (HRI), Theory of Mind (ToM) is intended to serve as a user-friendly backend to the interface of robotic systems, enabling robots to in…

cs.RO2025

Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks

Lukáš Gajdošech, Hassan Ali, Jan-Gerrit Habekost +3

Datasets for object detection often do not account for enough variety of glasses, due to their transparent and reflective properties. Specifically, open-vocabulary object detectors…

cs.RO2025

Talking to Robots: A Practical Examination of Speech Foundation Models for HRI Applications

Theresa Pekarek Rosin, Julia Gachot, Henri-Leon Kordt +2

Automatic Speech Recognition (ASR) systems in real-world settings need to handle imperfect audio, often degraded by hardware limitations or environmental noise, while accommodating…

cs.RO2025

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model

Josua Spisak, Matthias Kerzel, Stefan Wermter

There has been substantial progress in humanoid robots, with new skills continuously being taught, ranging from navigation to manipulation. While these abilities may seem impressiv…

cs.RO2024

Diffusing in Someone Else's Shoes: Robotic Perspective Taking with Diffusion

Josua Spisak, Matthias Kerzel, Stefan Wermter

Humanoid robots can benefit from their similarity to the human shape by learning from humans. When humans teach other humans how to perform actions, they often demonstrate the acti…

cs.RO2024

Robotic Imitation of Human Actions

Josua Spisak, Matthias Kerzel, Stefan Wermter

Imitation can allow us to quickly gain an understanding of a new task. Through a demonstration, we can gain direct knowledge about which actions need to be performed and which goal…