Book description
Let an AI and robotics expert help you apply AI, systems engineering, and ML concepts to create smart robots capable of interacting with their environment and users, making decisions, and navigating autonomously
Key Features
- Gain a holistic understanding of robot design, systems engineering, and task analysis
- Implement AI/ML techniques to detect and manipulate objects and navigate robots using landmarks
- Integrate voice and natural language interactions to create a digital assistant and artificial personality for your robot
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Unlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques. From neural networks to computer vision, this second edition of the book equips you with the latest tools, new and expanded topics such as object recognition and creating artificial personality, and practical use cases to create truly smart robots.
Starting with robotics basics, robot architecture, control systems, and decision-making theory, this book presents systems-engineering methods to design problem-solving robots with single-board computers. You'll explore object recognition using YOLO and genetic algorithms to teach your robot to identify and pick up objects, leverage natural language processing to give your robot a voice, and master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. The book also covers path planning and goal-oriented programming to prioritize your robot's tasks, showing you how to connect all software using Python and ROS 2 for a seamless experience.
By the end of this book, you'll have learned how to transform your robot into a helpful assistant with NLP and give it an artificial personality, ready to tackle real-world tasks and even crack jokes.
What you will learn
- Get started with robotics and AI essentials
- Understand path planning, decision trees, and search algorithms to enhance your robot
- Explore object recognition using neural networks and supervised learning techniques
- Employ genetic algorithms to enable your robot arm to manipulate objects
- Teach your robot to listen using Natural Language Processing through an expert system
- Program your robot in how to avoid obstacles and retrieve objects with machine learning and computer vision
- Apply simulation techniques to give your robot an artificial personality
Who this book is for
This book is for practicing robotics engineers and enthusiasts aiming to advance their skills by applying AI and ML techniques. Students and researchers looking for practical guidance for solving specific problems or approaching a difficult robot design will find this book insightful. Proficiency in Python programming, familiarity with electronics and wiring, single board computers, Linux-based command-line interface (CLI), and knowledge of AI/ML concepts are required to get started with this book.
Table of contents
- Artificial Intelligence for Robotics
- Foreword
- Contributors
- About the author
- About the reviewers
- Preface
- Part 1: Building Blocks for Robotics and Artificial Intelligence
-
Chapter 1: The Foundation of Robotics and Artificial Intelligence
- Technical requirements
- The basic principle of robotics and AI
- What is AI and autonomy (and what is it not)?
- Are recent developments in AI anything new?
- What is a robot?
- Our sample problem – clean up this room!
- When do you need AI for your robot?
- Introducing the robot and our development environment
- Summary
- Questions
- Further reading
- Chapter 2: Setting Up Your Robot
- Chapter 3: Conceptualizing the Practical Robot Design Process
- Part 2: Adding Perception, Learning, and Interaction to Robotics
- Chapter 4: Recognizing Objects Using Neural Networks and Supervised Learning
- Chapter 5: Picking Up and Putting Away Toys using Reinforcement Learning and Genetic Algorithms
- Chapter 6: Teaching a Robot to Listen
- Part 3: Advanced Concepts – Navigation, Manipulation, Emotions, and More
- Chapter 7: Teaching the Robot to Navigate and Avoid Stairs
- Chapter 8: Putting Things Away
-
Chapter 9: Giving the Robot an Artificial Personality
- Technical requirements
- What is an artificial personality?
- A brief introduction to the (obsolete) Turing test, chatbots, and generative AI
- The art and science of simulation
- An emotion state machine
- Playing the emotion game
- Creating a model of human behavior
- Developing the robot emotion engine
- Summary
- Questions
- Further reading
- Chapter 10: Conclusions and Reflections
- Answers
- Appendix
- Index
- Other Books You May Enjoy
Product information
- Title: Artificial Intelligence for Robotics - Second Edition
- Author(s):
- Release date: March 2024
- Publisher(s): Packt Publishing
- ISBN: 9781805129592
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