Short bio

I am currently a postdoctoral researcher in the CRAFT lab, which is part of the Division of Systems and Control at Chalmers University of Technology, with a focus on interpretable methods for robot decision-making and human-centered collaboration. Before that, I had a postdoc position in the Institute for Artificial Intelligence and Autonomous Systems (A2S) at Hochschule Bonn-Rhein-Sieg (H-BRS), where I was a lecturer and research & strategy manager. I completed my PhD in the Knowledge-Based Systems Group at RWTH Aachen University in a joint cooperation with the Autonomous Systems Group at H-BRS.

In general, my work is focused on cognitive robotics, such that I am interested in increasing the interpretability and introspectiveness of robots, particularly so that robots can learn from their failures effectively, as well as in equipping robots with capabilities that are essential for existing in human-centred environment, such as contextual awareness and the ability to personalise the behaviour to the needs of individual users. Ultimately, I am interested in developing service robots that are useful to people and can benefit all of us in our everyday lives.

Latest news

• 09.07.2026: I can now be found on W Social
• 01-05.06.2026: Attended ICRA in Vienna
• 30.05.2026: New paper on causal-based navigation got accepted at RO-MAN 2026
• 24-26.03.2026: Attended the European Robotics Forum 2026, where I co-organised a workshop on explainability, cognition, and embodied AI
• 11-13.03.2026: Attended the 2nd German Robotics Conference, where I presented posters of my ongoing work dealing with the interpretability and failure robustness of robot skills
• 31.01.2026: New paper on using LLMs for embodied robot cognition got accepted at IEEE ICRA
• 25.01.2026: Two extended abstracts (on visual predictive learning and the COFFAIL dataset) got accepted at the German Robotics Conference
• 15.01.2026: Attended the WASP Winter Conference
• 14.01.2026: Visited the robotics lab in the Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University
• 11.12.2025: Gave an online interview on my work with social robots and robot-assisted therapy of children with ASD

Recent and ongoing work highlights

Robot Swiss army knife	Robot failure resources
This repository is a collection of components (most of them ROS 2 packages) that are useful for developing various robot applications	This is an actively maintained, curated collection of resources (such as publications, datasets, workshops) on various aspects related to robot failures
COFFAIL dataset	Robot execution tools
COFFAIL is a dataset containing data from execution episodes (both successful and failed) of seven robot skills in the context of coffee preparation	This collection of components includes various tools that can be useful for collecting robot execution data and executing learning-based robot policies