This chapter provides a hands-on introduction to machine learning (ML) in robotics. Although we assume that you have not yet worked in such a field, it will be helpful to have some background in statistics and data analytics. In any case, this chapter intends to be a gentle introduction to the topic, favoring intuition instead of complex mathematical formulations, and putting the focus on understanding the common concepts used in the field of ML.
Throughout this chapter, we will devote the discussion to such concepts by providing specific examples of robots. This is somewhat original because most references and books on ML give examples oriented to data science. Hence, as you become more familiar with robotics, it should be easier for you to understand the concepts this way.
With the explanations about deep learning, you will understand how...
