Understanding the behavior of human crowds is a key step toward a safer society and more
livable cities. Despite the individual variability and will of single individuals, human crowds …

Laning is a paradigmatic example of spontaneous organization in active two-component
flows that has been observed in diverse contexts, including pedestrian traffic, driven colloids …

Forms of both simple and complex machine intelligence are increasingly acting within
human groups in order to affect collective outcomes. Considering the nature of collective …

Lane formation in bidirectional pedestrian streams is based on a stimulus–response
mechanism and strategies of navigation in a fast-changing environment. Although …

In this work, we try to reproduce empirical results concerning the behaviour of a human
crowd in a cross-flow using a hierarchy of models, which differ in the details of the body …

With the approaching goal of having robots collaborate in shared human-robot
environments, navigation in this context becomes both crucial and desirable. Recent …

Most pedestrian crowds are composed of social groups that are typically formed by dyads
(two members), triads (three members), or larger groups. Depending on the context, social …

Exploring general rules from diverse motion choices in the real world is a pivotal area of
study that deepens our understanding of pedestrian behavior. In this research, we conduct …

Distance control in many-particle systems is a fundamental problem in nature. This becomes
particularly relevant in systems of active agents, which can sense their environment and …

Robots navigating in crowded areas should negotiate free space with humans rather than
fully controlling collision avoidance, as this can lead to freezing behavior. Game theory …