An Experimental Environment for Optimal Spatial Sampling in a Multi-Robot System

Abstract

In our research, we are concerned with sensing the environment using mobile robots. This enables selection of optimal sampling locations in order to produce maximum information about the environment. Selection of sampling locations plays a key role in hospital environments, for example, where humidity and temperature levels or carbon dioxide concentration may require regular monitoring. On the other hand, the accuracy of a regression model depends on the sampling locations, which is significant, for example, in planetary exploration.