Learn how to apply artificial intelligence, engineering, and machine learning to create smart robots capable of interacting with their environment, engaging with 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 book equips you with the tools 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 and genetic algorithms to teach your robot to identify and pick up objects, and you'll also harness the power of natural language processing to give your robot a voice. To enhance your robot further, you'll 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

The Foundation of Robotics and Artificial Intelligence
Setting Up Your Robot
Conceptualizing the Practical Robot Design Process
Recognizing Objects Using Neural Networks and Supervised Learning
Picking Up and Putting Away Toys using Reinforcement Learning and Genetic Algorithms
Teaching a Robot to Listen
Teaching the Robot to Navigate and Avoid Stairs
Putting Things Away
Giving the Robot an Artificial Personality
Conclusions and Reflections
Q and A
Apendix