Self-driving Lego Mindstorms Robot
Iqbal Mohomed
In this paper, I describe the workings of my personal hobby
project - a self-driving lego mindstorms robot. The body of the
robot is built with Lego Mindstorms. An Android smartphone is used
to capture the view in front of the robot. A user first teaches the
robot how to drive; this is done by making the robot go around a track
a small number of times. The image data, along with the user action is used
to train a Neural Network. At run-time, images of what is in front of the
robot are fed into the neural network and the appropriate driving action
is selected. This project showcases the power of python's libraries, as they
enabled me to put together a sophisticated working system in a very short amount
of time. Specifically, I made use of the Python Image Library to downsample
images, as well as the
PyBrain neural network library. The robot was controlled using the nxt-python library.
self-driving, neural networks, robotics
DOI10.25080/Majora-54c7f2c8-006