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Artificial Intelligence for Robotics

Artificial Intelligence for Robotics

By : Francis X. Govers III
4.4 (5)
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Artificial Intelligence for Robotics

Artificial Intelligence for Robotics

4.4 (5)
By: Francis X. Govers III

Overview of this book

Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.
Table of Contents (13 chapters)
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Giving the Robot an Artificial Personality

When a person thinks of a robot with AI, what many consider AI is a robot that has emotions, feelings, a state of mind, and some sort of model or concept of how humans think or feel. We can call this form of AI an artificial personality. While giving a robot feelings is definitely way beyond the scope of this book (or current technology), what we can do is create a simulation of a personality for the robot using standard computer modeling techniques, such as Monte-Carlo analysis, and finite state machines.

In this chapter, we will cover the following topics:

  • Transaction-based conversation
  • Designing a chatbot
  • Natural language processing (advanced)
  • Simulation tools
  • Monte Carlo modeling
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