Control system of two-wheeled self-balancing handling robot based on vision

Abstract

In this paper, a control system of two-wheeled handling robot based on vision is designed. The self-balancing robot is composed of single chip microcomputer STM32F103C8T6, gray sensor S301D, motor drive, DC(direct current) deceleration motor, Bluetooth module, steering gear, openmv and other components. The handling robot can complete the tracking of a certain route by implanting a designated route in advance. Through ultrasonic distance measurement combined with camera position recognition communication single chip microcomputer, the grasping of mechanical arm is controlled. The camera can do position recognition, size recognition, shape and color recognition, etc., which is suitable for many occasions and can be widely used in real life. And the movement and grasping of the two-wheeled handling robot can be manually controlled through Bluetooth connection app. Green energy-saving can be achieved according to this robot.