Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Swarms, which stem from collective behaviors among individual elements, are commonly
seen in nature. Since two decades ago, scientists have been attempting to understand the …

Mobile microrobots, which can navigate, sense, and interact with their environment, could
potentially revolutionize biomedicine and environmental remediation. Many self-organizing …

Cooperation is a strategy that has been adopted by groups of organisms to execute complex
tasks more efficiently than single entities. Cooperation increases the robustness and …

Robustness is key to engineering, automation, and science as a whole. However, the
property of robustness is often underpinned by costly requirements such as over …

Emergent behavior in collectives of “robotic” units with limited capabilities that is robust and
programmable is a promising route to perform tasks on the micro and nanoscale that are …

Whereas naturally occurring swarms thrive when crowded, physical interactions in robotic
swarms are either avoided or carefully controlled, thus limiting their operational density …

Single and collective cell migration are fundamental processes critical for physiological
phenomena ranging from embryonic development and immune response to wound healing …

In this paper, we present an implementation of social learning for swarm robotics. We
consider social learning as a distributed online reinforcement learning method applied to a …

Deformability and self‐adaptability are important for soft robots to deal with uncertain and
varying situations and environments during movement and navigation. Droplet‐based …