Exploration Robot Teams Sharing Data

Abstract

In this article's abstract, we describe the challenges that arise when a large number of robots attempt to explore and map an unknown
region. Hill climbing is used in this mapping technique to locate maps that are most consistent with collected sensor data and odometry.
It's a way to maximize your chances of success online. The robots' movements are precisely orchestrated by the program. The goal is to
maximize value by minimizing wasted effort as robots learn the same things again. The bulk of the math for both the exploratory and
mapping approaches is dispersed. Extensive testing in simulations and real-world trials has been done on the approaches. The results
show how our multirobot exploration strategy increases robustness and performance.