Fuzzy-based obstacle avoidance for a mobile robot navigation in indoor environment

Abstract

This paper presents a real-time automatic obstacle avoidance system using the depth map provided by a RGBD sensor mounted on a mobile robot. A set of intelligent fuzzy rules are designed to construct a safe path to avoid obstacles in the unknown environment. According to the experimental results, this system has good performance while compared with the previous approaches and can work in dark environment.