The Cleaning Machine Path Design Using Image Recognition Techniques

Abstract

The automatic global path planning of the cleaning machine is a core work of the service-oriented robots. Its functions include wisdom of local positioning, global positioning, route planning and route tracking. The methods have double round positioning, three-point positioning, cross-ratio positioning, bilinear interpolation, cubic interpolation, memory path flow-chart, vector-path tracing, and many other algorithms. Infrared and ultrasonic waves required for the hardware are used as distance detection, and combined with a smart obstacle-avoidance algorithm to correctly avoid all the obstacles. The overall design goal is to achieve under stable, reliable states accurate control and flexible movement. In this paper, we hoped to achieve high efficiency of automatic mobile obstacle-avoidance capability by using image processing techniques.