Path Control of Quadruped Robot through Convolutional Neural Networks

摘要

This paper deals with the application of the Convolutional Neural Networks (CNN) for path control of the autonomous quadruped robot. In this project, the quadruped robot detects the objects through the camera and visual data processing is performed via Python and OpenCV (Open Computer Vision). The OpenCV is a package that has many useful tools to analyze and process the images. The electronic components that are used in this project are Arduino microcontroller, Raspberry PI computer, Ultrasound detector and Pi camera. Regarding the software, in this project is developed by using the Python programming language, Numpy, Pyserial and Spyder libraries, which help to realize the autonomous movement of the quadruped robot.