Katharina Lieberth
Papers
1
Total Citations
130
H-Index
1
About
Dr. Katharina Lieberth is a pioneering researcher at the intersection of organic electronics and neuromorphic computing, with a focus on developing bio-inspired hardware for robotics. Her most-cited work, "Organic neuromorphic electronics for sensorimotor integration and learning in robotics" (2021, 130 citations), introduces an innovative organic neuromorphic circuit that mimics the distributed sensorimotor processing found in living organisms. By embedding this circuit into a robot navigating a maze, Lieberth demonstrated how organic materials can enable local, efficient merging of sensory and motor signals—a fundamental step toward creating adaptive, energy-efficient robotic systems that learn from their environment. This work bridges the gap between materials science and robotics, offering a tangible path to hardware that replicates biological learning and integration. Her contributions are shaping the future of soft robotics and intelligent systems, with her research being widely cited for its practical approach to merging organic electronics with real-world robotic applications.
Research Focus
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Top Papers
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