9 papers
MoDiCoL: A Modular Diagnostic Continual Learning Dataset for Robust Speech Recognition
Theresa Pekarek Rosin, Matthias Kerzel, Stefan Wermter
Modern Automatic Speech Recognition (ASR) systems have made remarkable progress on standard benchmarks, yet performance gaps have emerged under real-world distribution shifts, caus…
Uncertainty, Vagueness, and Ambiguity in Human-Robot Interaction: Why Conceptualization Matters
Xiaowen Sun, Cornelius Weber, Matthias Kerzel +2
Uncertainty, vagueness, and ambiguity are closely related and often confused concepts in human-robot interaction (HRI). In earlier studies, these concepts have been defined in cont…
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…
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…
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…
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana +4
Effective teaching requires adapting instructional strategies to accommodate the diverse cognitive and behavioral profiles of students, a persistent challenge in education and teac…