Autonomous mobile robots have been gradually employed to search unknown sources in
indoor environments. However, current studies have not fully addressed the source …

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 …

Using sensing robots (searchers) to search for the diffusive source in indoor environments is
a common and vital task in human society. Such environments, however, are always …

One driving application for multi-robots is source seeking, especially in the hazardous
environment. It consists of two essential subtasks: source location and path search. Nature …

Locating the source of indoor pollutants/hazardous substances is essential to ensure the
health and safety of indoor personnel. The existing studies on source localization using …

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 …

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 …

To locate contaminant sources in dynamic indoor environments, this study presents an
improved particle swarm optimization (IPSO) method independent of airflow information and …

In this paper, a novel multi-robot autonomous exploration approach CURE is proposed
based on dynamic Voronoi diagrams and centroids of unknown connected regions …

Nowadays, mobile robots have been used to search for uncontrolled radioactive source in
indoor environments to avoid radiation exposure for technicians. However, in the indoor …