In this article, an effective solution is presented for efficient robotic object search by
leveraging metric-topological map. Based on the reference of objects, we construct a novel …

This study tackles the task of swarm robotics, where robots explore the environment to detect
targets. When a robot detects a target, the robot must be connected with a base station via …

Efficient foraging depends on decisions that account for the costs and benefits of various
activities like movement, perception, and planning. We conducted a virtual foraging …

Background Theoretical studies predict that Lévy walks maximizes the chance of
encountering randomly distributed targets with a low density, but Brownian walks is …

A key aspect of foraging in robot swarms is optimizing the search efficiency when both the
environment and target density are unknown. Hence, designing optimal exploration …

This paper describes an implementation of Lévy walk (or Lévy flight) to pheromone
communicating swarm robots. Lévy flight is a special class of random walk in which the step …

Design of robot swarms inspired by self-organization in social insect groups is currently an
active research area with a diverse portfolio of potential applications. In this work, the …

In this article, we propose a controller that can coordinate a swarm of robots to cover a
region persistently by forming a mobile sensor network. Therefore, the robot swarm can …

Multidimensional (MD) physical systems are usually given in terms of partial differential
equations (PDEs). Similar to one-dimensional systems, they can also be described by …

Many active matter systems are known to perform Lévy walks during migration or foraging.
Such superdiffusive transport indicates long-range correlated dynamics. These behavior …