The availability of large datasets has boosted the application of machine learning in many
fields and is now starting to shape active-matter research as well. Machine learning …

Within animal populations there is variation among individuals in their tendency to be social,
where more sociable individuals associate more with other individuals. Consistent inter …

Swarm robotics deals with the design, construction, and deployment of large groups of
robots that coordinate and cooperatively solve a problem or perform a task. It takes …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …

Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired
by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system …

Robotics and neuroscience are sister disciplines that both aim to understand how agile,
efficient, and robust locomotion can be achieved in autonomous agents. Robotics has …

Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …

In early 2016, we had the opportunity to test a pair of sprawling posture robots, one
designed to mimic a crocodile and another designed to mimic a monitor lizard, along the …

Social organisation in animals takes many forms. It includes assemblages of territorial
animals, dominance hierarchies and social groups, among other things. The basic tenet that …

Closeup exploration of underwater life requires new forms of interaction, using biomimetic
creatures that are capable of agile swimming maneuvers, equipped with cameras, and …