Franziska joined the PEARL group as a PhD student in December 2024. She is supervised by Prof. Georgia Chalvatzaki. Her research primarily focuses on graph-based representations, imitation learning from human demonstrations and human-robot interaction.
Franziska holds master’s degrees in Autonomous Systems and Computer Science and a bachelor’s degree in Information System Technology, both from TU Darmstadt. She wrote her master thesis titled “Learning Semantic-Geometric Task Graphs from Bimanual Human Demonstrations” under supervision of Prof. Georgia Chalvatzaki, Dr.-Ing Dorothea Koert and Dr.-Ing Vignesh Prasad.
Research Interests
Robot Learning, Representation Learning, Human-Robot Interaction, Bimanual Manipulation, Imitation Learning
If you want to collaborate or are interested in writing a thesis, please reach out to me via mail.
Key References
Semantic-Geometric Task Representations for Bimanual Manipulation from Human Demonstrations to Robot Action Planning. Franziska Herbert, Vignesh Prasad, Han Liu, Dorothea Koert, Georgia Chalvatzaki. IEEE Robotics and Automation Letters, 2026.
Entropy based blending of policies for multi-agent coexistence. David Rother, Franziska Herbert, Fabian Kalter, Dorothea Koert, Joni Pajarinen, Jan Peters, Thomas H. Weisswange. Autonomous Agents and Multi-Agent Systems, vol. 39, no. 1, 27, 2025.
An Evaluation of Situational Autonomy for Human-AI Collaboration in a Shared Workspace Setting. Vildan Salikutluk, Janik Schöpper, Franziska Herbert, Katrin Scheuermann, Eric Frodl, Dirk Balfanz, Frank Jäkel, Dorothea Koert. Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-17, 2024.
Interactive Reinforcement Learning with Bayesian Fusion of Multimodal Advice. Susanne Trick, Franziska Herbert, Constantin A. Rothkopf, Dorothea Koert. IEEE Robotics and Automation Letters, vol. 7, no. 3, 2022.
Contact
> Email: franziska.herbert<at>tu-darmstadt.de
> Website: https://frherbert.github.io/
> Post:
Franziska Herbert
TU Darmstadt,
Landwehrstraße 50a, 64293, Darmstadt
Office. Room 109, Building S4|23