Selected Publications: 1. Blockchain technology for mobile multi-robot systems (Nature Reviews Electrical Engineering, 2024); 2. Cross-inhibition leads to group consensus despite the presence of strongly opinionated minorities and asocial behaviour (Communications Physics, 2023); 3. Magnitude-sensitivity: rethinking decision-making (Trends in Cognitive Sciences, 2022); 4. When less is more: Robot swarms adapt better to changes with constrained communication (Science Robotics, 2021); 5. Model of the best-of-N nest-site selection process in honeybees (Physical Review E, 2017).
Research Experience
Position: Research Group Leader - GIO Lab; Location: Centre for the Advanced Study of Collective Behaviour, Universität Konstanz & Max Planck Institute of Animal Behavior, Germany; Focus: Using mathematical and computational models to study group intelligence, focusing on how mobile agents exchange, process, and utilize information to achieve self-organised coordination.
Background
Research Interests: Group intelligence and self-organisation, how mobile agents exchange, process, and utilize information, designing coordination algorithms for large-scale robotic systems. Fields: Statistical physics, network science, computer science, multi-agent simulations, animal behaviour, cognitive neuroscience, and robotics.
Miscellany
Interests: Interdisciplinary collaborations (theoretical biology, physics, cognitive neuroscience, psychology, and computer science), passionate about robotics, and frequently validates findings through large-scale swarm robotics experiments.