Interactive mobile robot in a dynamic environment

Abstract

In this work we introduced a robotic system to work in a sociable environment alongside humans. The robot is able to recognize information through sound and it is capable to speak in order to response or provide significant information. We implemented and compared different simultaneous localization and mapping (SLAM) algorithms available in Robot Operating System (ROS). We compared their results and showed performance in real time in an indoor environment using lidars as the core sensing module. Thus we came up with a mobile robot autonomously navigating in a dynamic environment capable of interaction and manipulation intelligently.