Nicolas Berberich
Fraunhofer Institute for Cognitive Systems, Technical University of Munich
Papers
5
Total Citations
44
H-Index
4
About
Nicolas Berberich is an interdisciplinary researcher working at the intersection of cognitive robotics, rehabilitation engineering, and AI ethics. His work spans three compelling domains: enabling robots to reason causally about the world, developing assistive technologies for physical rehabilitation, and interrogating the moral frameworks that should govern autonomous systems. Berberich's most cited contribution (17 citations) demonstrates how robots can use mental simulation to extract and test causal hypotheses from observed human activities in virtual reality — a significant step toward robots that genuinely understand, rather than merely mimic, human actions. Building on this foundation, his work on causal affordance learning (2022) further advances robot generalization to unfamiliar environments. On the assistive technology front, he has developed tactile-based exoskeleton systems to support physical therapy (12 citations) and a vibrotactile sensory substitution belt for patients with conditions such as multiple sclerosis, addressing real-world accessibility challenges in rehabilitation. Equally notable is Berberich's engagement with AI ethics; his exploration of virtue ethics as a framework for autonomous systems (8 citations) reflects a rare willingness among roboticists to grapple seriously with philosophical questions. Collectively, his research portrays a scientist committed to building robots that are not only capable, but trustworthy and genuinely beneficial to human well-being.
Research Focus
Key Achievements
Top Papers
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- 3The Virtuous Machine - Old Ethics for New Technology?8 citations · 2018
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