In this chapter, you have been introduced to the world of robotics. You have learned about advanced techniques, such as NLP and computer vision, combined with robotics. In this chapter, you have also worked with Python, which you will use in the chapters ahead.

In addition, you have made use of odometry to compute a robot's position without external sensors. As you can see, it is not hard to compute a robot's position if the data required is available. Notice that although odometry is a good technique, in future chapters we will use other methods, which will allow us to work with sensors, and that may be more accurate in terms of results.

In the following chapter, we will look at computer vision and work on more practical topics. For example, you will be introduced to machine learning, decision trees, and artificial neural networks, with the goal of applying them to computer vision. You will use them all during the rest of the book, and you will surely get the chance to use them for personal or professional purposes.