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.

Artificial Intelligence for Robotics
By :

Artificial Intelligence for Robotics
By:
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)
Preface
Foundation for Advanced Robotics and AI
Setting Up Your Robot
A Concept for a Practical Robot Design Process
Object Recognition Using Neural Networks and Supervised Learning
Picking up the Toys
Teaching a Robot to Listen
Avoiding the Stairs
Putting Things Away
Giving the Robot an Artificial Personality
Conclusions and Reflections
Assessments
Other Books You May Enjoy
How would like to rate this book
Customer Reviews