Using an adaptive iterative learning algorithm for planning of the path of an autonomous robotic vacuum cleaner

Abstract

In this paper we propose the design of an autonomous robotic vacuum cleaner by using three-dimensional vector coordinates to guide its path. Our design is fully adapted to planning an effective mode for completing the cleaning task in an unknown environment. In addition we propose a dynamic return path for recharging, including the relative coordinates of the record starting point and the current position. The cleaner calculates the distance from the location of the base and then plans the return path.