The Adaptative Line Follower (ALF) robot was my graduation project in Computer Engineering at Sao Paulo Federal University. This is the source code of a line follower robot implemented using Image Processing (OpenCV) to identify the line and an Reinforcement Learning (Q-learning) algorithm.
The Adaptative Linefollower Robot (ALF) platform. Built from zero using 3D printed parts.
This code is responsible for implementing image processing and Q-learning algorith using Python, OpenCV and a SQL Database to store learning process data
This is the source code of a Arduino-based module to control direct current electrical motors using PID controllers. It was implemented a Serial interface to implement the communication between CVLU and this unit. CVLU send a stream of instructions to control robot movement.
This module implements a webserver using Pyhton and Flask to create a visual interface to follow up learning processes in real time and access previous learning processes for analysis using tables and chats in Javascript (Plot.ly).
Block Diagram of the final system
Class Diagram with most important classes
Database ER diagram.