Fabian Peller-Konrad
Karlsruhe Institute of Technology, CE Technologies (United Kingdom)
Papers
12
Total Citations
105
H-Index
5
About
Fabian Peller-Konrad is an emerging robotics researcher whose work sits at the intersection of cognitive architectures, human-robot interaction, and natural language processing for humanoid systems. His research focuses on enabling robots to learn, remember, and communicate their experiences in ways that feel intuitive and natural to human collaborators. Among his most significant contributions is his work on incremental robot learning through natural language dialog and large language models, which has already garnered 32 citations since its 2024 publication, signaling rapid uptake in the field. Complementing this, his investigations into deep episodic memory and experience verbalization — allowing robots to describe their past actions in natural language — represent a meaningful departure from earlier rule-based approaches, earning 20 citations. His 2023 paper on memory systems within the ArmarX cognitive architecture (19 citations) further demonstrates his commitment to building practical, implementable frameworks for robot cognition. Peller-Konrad has also explored robot security and privacy through access control frameworks for assistive robots, and has contributed to multi-robot logistics systems and transferable manipulation skills. Spanning memory, language, safety, and child-robot interaction, his portfolio reflects a researcher steadily shaping how future humanoid robots will think, learn, and communicate alongside people.
Research Focus
Key Achievements
Top Papers
- 1
- 2Deep Episodic Memory for Verbalization of Robot Experience20 citations · 2021
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- 5Drawings for Insight on Preschoolers' Perception of Robots6 citations · 2024
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- 9Forgetting in Robotic Episodic Long-Term Memory2 citations · 2024
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