The Power of Combined Modalities in Interactive Robot Learning
H. Beierling, A.-L. Vollmer, ArXiv:2405.07817 (2024).

Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms
H. Beierling, K. Loos, R. Helmert, A.-L. Vollmer, in: 2024.

Technical Transparency for Robot Navigation Through AR Visualizations
L. Dyck, H. Beierling, R. Helmert, A.-L. Vollmer, in: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, ACM, 2023, pp. 720–724.

Forms of Understanding of XAI-Explanations
H. Buschmeier, H.M. Buhl, F. Kern, A. Grimminger, H. Beierling, J. Fisher, A. Groß, I. Horwath, N. Klowait, S. Lazarov, M. Lenke, V. Lohmer, K. Rohlfing, I. Scharlau, A. Singh, L. Terfloth, A.-L. Vollmer, Y. Wang, A. Wilmes, B. Wrede, ArXiv:2311.08760 (2023).

What you need to know about a learning robot: Identifying the enabling  architecture of complex systems
H. Beierling, P. Richter, M. Brandt, L. Terfloth, C. Schulte, H. Wersing, A.-L. Vollmer, ArXiv:2311.14431 (2023).