Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Artificial Intelligence for Robotics
  • Toc
  • feedback
Artificial Intelligence for Robotics

Artificial Intelligence for Robotics

By : Francis X. Govers III
4.4 (5)
close
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)
close

Summary

In this chapter, we introduced the subject of artificial intelligence, and discussed that this is an artificial intelligence book applied to robotics, so our emphasis will be on AI. The main difference between an AI robot and a "regular" robot is that an AI robot may behave non-deterministically, which is to say it may have a different response to the same stimulus, due to learning. We introduced the problem we will use throughout the book, which is picking up toys in a playroom and putting them into a toy box. Next, we discussed two critical tools for AI robotics: the OODA loop (Observe-Orient-Decide-Act), which provides a model for how our robot makes decisions, and the soft real-time control loop, which manages and controls the speed of execution of our program. We applied these techniques in a timing loop demonstration and began to develop our main robot control program. The Appendix provides detailed instructions on setting up the various environments and software we will use to develop our AI-based robot, which I call TinMan.

bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete