Swarm intelligence principles have been widely studied and applied to a number of different
tasks where a group of autonomous robots is used to solve a problem with a distributed …

Swarm robotics is an approach to collective robotics that takes inspiration from the self-
organized behaviors of social animals. Through simple rules and local interactions, swarm …

Recent advances in technology are delivering robots of reduced size and cost. A natural
outgrowth of these advances are systems comprised of large numbers of robots that …

We review the observations and the basic laws describing the essential aspects of collective
motion—being one of the most common and spectacular manifestation of coordinated …

The research progress of swarm robotics is reviewed in details. The swarm robotics inspired
from nature is a combination of swarm intelligence and robotics, which shows a great …

The simultaneous control of multiple coordinated robotic agents represents an elaborate
problem. If solved, however, the interaction between the agents can lead to solutions to …

This work presents the current state-of-the-art in techniques for tracking a number of objects
moving in a coordinated and interacting fashion. Groups are structured objects …

In flocking, a swarm of robots moves cohesively in a common direction. Traditionally,
flocking is realized using two main control rules: proximal control, which controls the …

This paper proposes two extensions of Particle Swarm Optimization (PSO) and Darwinian
Particle Swarm Optimization (DPSO), respectively named as RPSO (Robotic PSO) and …

Collective motion is a fundamental operation of robot swarms by which a group of robots
move from a source to a destination in a cohesive way (ie, connectivity is preserved during …