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Learn Robotics Programming
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Some of the smartest sounding types of robotics are those involved in machine learning. The code used throughout this book has not used machine learning and is instead used well-known algorithms. The Proportional Integral Derivative (PID) controller you used in this book is a system that makes adjustments to read a value, but it is not machine learning. However, optimizing PID values might come from a machine learning algorithm. We used Haar Cascade models to detect faces; this was also not machine learning, though OpenCV contributors probably used a machine learning system to generate these cascades.
Machine learning tends to be great at optimizing tasks and discovering and matching patterns, but poor at making fully formed intelligent-seeming behavior.
The basic overall idea of many machine learning systems involves having a set of starting examples, with some information on which are matches and which are not. The machine is expected to determine...