About

Nils Weimar is a leading researcher in the field of collective animal behavior and bio-inspired robotics, with a particular focus on how social interactions and individual traits drive group-level patterns. His work uniquely combines experimental biology with biomimetic engineering, using robotic fish as tools to probe the fundamental rules of social behavior in both surface and cave-dwelling species. Weimar’s most-cited study (2018, 37 citations) demonstrated how biomimetic robots can be used to investigate the social behavior of *Poecilia mexicana* in varying light conditions, revealing new insights into the cues animals use for communication. In a landmark 2020 paper (35 citations), he showed that individual swimming speed is a key driver of collective motion, using an extremely social robotic fish to bridge the gap between theoretical models and empirical data. His recent work (2023, 10 citations) further advances the field by demonstrating that social competence—the ability to adapt interaction rules—significantly improves the performance of biomimetic leaders guiding live fish. Weimar’s research has profound implications for understanding the evolution of sociality and for designing more effective autonomous robots capable of integrating into animal groups.

Research Focus

Key Achievements

4
H-Index
4
Papers
90
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Insights into the Social Behavior of Surface and Cave-Dwelling Fish (Poecilia mexicana) in Light and Darkness through the Use of a Biomimetic Robot
37 citations · 2018
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Humboldt-Universität zu Berlin, Leibniz Institute of Freshwater Ecology and Inland Fisheries, University of Bonn

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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