Multi-source location is a significant application in the field of robot swarm and is required to
find all sources whose number and distribution are unknown in advance. With few …

A multi-source location problem aims to locate sources in an unknown environment based
on the measurements of the signal strength from them. Vast majority of existing multi-source …

Locating multiple sources in an unknown environment based on their signal strength is
called a multi-source location problem. In recent years, there has been great interest in …

Recently, using a particle swarm optimizer (PSO) to guide robots in a source location
problem has attracted widespread interest. While being navigated by PSO, robots are easily …

In this paper, we propose a new approach for multiple source localization tasks of multiple
robots. Our approach controls robots by mobile agents that behave based on particle swarm …

The task of locating a source based on the measurements of the signal emitted/emanating
from it is called the source-seeking problem. In the past few years, there has been a lot of …

This paper proposes a common set of validation benchmarks and a reference algorithm that
provide ground-truth for comparative analysis of swarming algorithms for multi-source …

We propose a common set of validation benchmarks and a reference algorithm that provide
ground-truth for comparative analysis of multi-source robot localization algorithms for large …

Swarm robotic is well known for its flexibility, scalability and robustness that make it suitable
for solving many real-world problems. Source searching which is characterized by complex …

This paper focuses on source location for scalar fields through multiple mobile robots with
sensors. Combined with field strength measurements and swarm evolution mechanisms, the …