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 …

This paper describes a new robotic multi-source localization algorithm based on diffusion of
robots. Our DIFFUSE algorithm accelerates source localization by combining robot diffusion …

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 …

In this article, we deal with a multiple source seeking problem via distributed control of
swarm robots. Source seeking is the task of finding sources of hazardous events, which can …

This paper deals with the problem of signal source localization using a group of autonomous
robots by designing and analyzing a decision-control approach with an event-triggered …

Localization of a mobile robot is a fundamentally first step and key algorithm to successfully
perform formation control for the multi-robot team. Previous researches have been studied …

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 …

In this paper, the role of adaptive group cohesion in a cooperative multi-agent source
localization problem is investigated. A distributed source localization algorithm is presented …

Purposeful collective behaviour in multi-agent systems can be achieved from a mix of simple
individualistic and social behaviours of an agent. Social behaviours are the basis of …

This paper describes an implementation of mutual localization of swarm robot using particle
filter. Robots determine the location of the other robots using wireless sensors. Measured …