Part 2: Adding Perception, Learning, and Interaction to Robotics

To see, understand, and interact with the environment, robots need to have perception. AI is one approach that can be used for recognizing objects and navigation. This part empowers you with the essential skills to efficiently operate your robots using AI techniques. Our example in this book is creating a robot that picks up toys, so we start with recognizing toys with a neural network. Then we work with the robot arm to pick up toys using tools such as reinforcement learning and genetic algorithms. The next chapter covers the creation of a robot digital assistant that can listen and understand your commands, and even tell knock-knock jokes.

This part has the following chapters:

• Chapter 4, Recognizing Objects Using Neural Networks and Supervised Learning
• Chapter 5, Picking Up and Putting Away Toys Using Reinforcement Learning and Genetic Algorithms
• Chapter 6, Teaching the Robot to Listen

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