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 …

Navigating a large swarm of micro-/nanorobots is critical for potential targeted
delivery/therapy applications owing to the limited volume/function of a single microrobot, and …

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

The name active matter refers to any collection of entities that individually use free energy to
generate their own motion and forces. Through interactions, active particles spontaneously …

Miniature robots have been widely studied and applied in the fields of search and rescue,
reconnaissance, micromanipulation, and even the interior of the human body benefiting from …

With advances in robotic technology, the complexity of control of robot has been increasing
owing to fundamental signal bottlenecks and limited expressible logic state of the von …

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 …

Existing miniature underwater robots, which use electromagnetic actuators or soft actuators,
function in shallow waters. However, in the deep sea, the robots face challenges, such as …

The recent advancement of deep reinforcement learning (DRL) contributed to robotics by
allowing automatic controller design. The automatic controller design is a crucial approach …