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)

Understanding risk in AI

One subject I talk about frequently at conferences and in print is the risk of artificial intelligence in terms of trust and control. I’m not talking here about AI running amok, but rather with AI being dependable.

It is quite interesting that the sort of AI we have been doing – specifically, artificial neural networks—does something very few other computer software do.

Given the exact same inputs and conditions, the output of an AI system is not always the same. Given the same inputs, the AI will sometimes come up with a different answer.

The formal name for this behavior is non-determinism.

There is a second corollary to this. Given the same inputs, the AI process will sometimes take a different amount of time to complete its task.

This is simply not normal behavior for a computer. We have gotten used to 2+2 = 4 on a pretty consistent...