3 papers
cs.HC2026
Sense4HRI: A ROS 2 HRI Framework for Physiological Sensor Integration and Synchronized Logging
Manuel Scheibl, Julian Leichert, Sinem Görmez +1
Physiological signals are increasingly relevant to estimate the mental states of users in human-robot interaction (HRI), yet ROS 2-based HRI frameworks still lack reusable support…
cs.HC2026
From Interaction to Demonstration Quality in Virtual Reality: Effects of Interaction Modality and Visual Representation on Everyday Tasks
Robin Beierling, Manuel Scheibl, Jonas Dech +2
Virtual Reality (VR) is increasingly used for training and demonstration purposes including a variety of applications ranging from robot learning to rehabilitation. However, the ch…
cs.RO2025
Towards a cognitive architecture to enable natural language interaction in co-constructive task learning
Manuel Scheibl, Birte Richter, Alissa Müller +2
This research addresses the question, which characteristics a cognitive architecture must have to leverage the benefits of natural language in Co-Constructive Task Learning (CCTL).…