Lea Musiolek

About

Lea Musiolek is a pioneering researcher at the intersection of robotics, ethology, and collective animal behavior. Her work centers on using biomimetic robots as interactive social partners to decode the hidden rules governing group dynamics in animals. In her highly cited 2020 review, "Animal-in-the-Loop," she established a framework for using robotic conspecifics that respond dynamically to live animals, offering a powerful new method for studying social interaction. Her groundbreaking 2022 study demonstrated that live fish can learn to anticipate the movements of a fish-like robot, providing the first empirical evidence of cross-species anticipatory behavior in a non-mammalian system. Expanding on this, her 2023 work showed that biomimetic robots with "social competence"—adaptive interaction rules—are more effective leaders of live fish shoals. Musiolek’s research has also advanced the 3Rs Principle (Replacement, Reduction, Refinement) in animal testing, offering ethical alternatives to traditional experiments. With over 67 citations across her key works, she is a leading voice in bio-inspired robotics and the study of anticipation as a mechanism for complex behavior in both biological and artificial agents.

Research Focus

Key Achievements

Top Papers

1. 1
   Animal-in-the-Loop: Using Interactive Robotic Conspecifics to Study Social Behavior in Animal Groups

   39 citations · 2020
2. 2
   Live fish learn to anticipate the movement of a fish-like robot ^*

   11 citations · 2022
3. 3
   Social competence improves the performance of biomimetic robots leading live fish

   10 citations · 2023
4. 4
   Biomimetic robots promote the 3Rs Principle in animal testing

   4 citations · 2021
5. 5
   Anticipation as a Mechanism for Complex Behavior in Artificial Agents

   3 citations · 2020

Key Collaborators

Contact & Links