Book Image

Artificial Intelligence for Robotics

By : Francis X. Govers III
Book Image

Artificial Intelligence for Robotics

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)

Summary

In this final chapter of our book, we summarized the journey through robotics and AI that is presented in the other chapters. We talked about robotics as a career, and discussed AI robotics as a profession. I brought up some issues regarding the future of AI, both real and imaginary. Drones and self-driving cars are real; robots taking jobs from humans or taking over the world is imaginary, at least in my opinion. I talked about robots and AI not having needs, and thus lacking the motivation or pressure, or even capability to evolve. Finally, we talked about risk in AI and how to recognize it.