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  • Book Overview & Buying Artificial Intelligence for Robotics
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Artificial Intelligence for Robotics

Artificial Intelligence for Robotics

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

Artificial Intelligence for Robotics

4.4 (5)
By: Francis X. Govers III
Buy this Book

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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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Code in Action
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Get in touch
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1
Foundation for Advanced Robotics and AI
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Foundation for Advanced Robotics and AI
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Technical requirements
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The basic principle of robotics and AI
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Summary
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Questions
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Further reading
2
Setting Up Your Robot
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Setting Up Your Robot
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Technical requirements
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What is a robot?
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Subsumption architecture
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Software setup
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Hardware
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Summary
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Questions
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Further reading
3
A Concept for a Practical Robot Design Process
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A Concept for a Practical Robot Design Process
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A systems engineering-based approach to robotics
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Use cases
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Storyboards
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Summary
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Questions
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Further reading
4
Object Recognition Using Neural Networks and Supervised Learning
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Object Recognition Using Neural Networks and Supervised Learning
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Technical requirements
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The image recognition process
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Summary
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Questions
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Further reading
5
Picking up the Toys
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Picking up the Toys
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Technical requirements
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Task analysis
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Teaching the robot arm
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Other robot arm machine-learning approaches
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Summary
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Questions
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Further reading
6
Teaching a Robot to Listen
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Teaching a Robot to Listen
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Technical requirements
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Robot speech recognition
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Summary
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Questions
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Further reading
7
Avoiding the Stairs
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Avoiding the Stairs
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Technical requirements
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Task analysis
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Summary
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Questions
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Further reading
8
Putting Things Away
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Putting Things Away
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Technical requirements
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Task analysis
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Summary
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Questions
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Further reading
9
Giving the Robot an Artificial Personality
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Giving the Robot an Artificial Personality
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Technical requirements
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What is an artificial personality?
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Questions
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Further reading
10
Conclusions and Reflections
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Conclusions and Reflections
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Conclusions about our journey
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Issues in AI – real and not real
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Understanding risk in AI
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Summary
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Questions
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Further reading
11
Assessments
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Assessments
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Chapter 1, Foundation for Advanced Robotics and AI
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Chapter 2, Setting Up Your Robot
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Chapter 3, A Concept for a Practical Robot Design Process
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Chapter 4, Object Recognition Using Neural Networks and Supervised Learning
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Chapter 5, Picking up the Toys
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Chapter 6, Teaching a Robot to Listen
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Chapter 7, Avoiding the Stairs
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Chapter 8, Putting Things Away
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Chapter 9, Giving the Robot an Artificial Personality
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Chapter 10, Conclusions and Reflections
12
Other Books You May Enjoy
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Other Books You May Enjoy
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Technical requirements

The hardware and software requirements for this chapter are as follows:

  • Python 2.7 or 3.5, with NumPy, SciPy, Matplotlib, and scikit-learn installed.
  • ROS Kinetic Kame.
  • A computer running Linux for development or a virtual machine running Linux under Windows. Ubuntu 16.04 is used for the examples and illustrations.
  • A Raspberry Pi 3 or similar single board computer (BeagleBone Black, Odroid, or similar). We are not using the GPIO or special interfaces on the Pi 3, so there is not a lot of RasPi-specific code.
  • An Arduino Mega 2560 microcontroller.
  • A Pololu Micro Maestro Servo Controller x6.
  • An Arduino development environment. This can be installed either on the control station (a laptop running Windows or a Linux laptop), or on the Raspberry Pi.
  • The TinMan robot hardware was purchased from AliExpress and was called Track Cars Creeper Truck Crawler Kits with...
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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Artificial Intelligence for Robotics
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