Artificial Intelligence for Robotics

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.

Type
ebook
Category
publication date
2024-03-29
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

no of pages
344
duration
688
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
approach
This book introduces professional robotic design and development processes that have been scaled down for smaller robot projects. The example carried throughout the book is a small robot with a mechanical arm that can pick up and put away toys in a residence which is integrated with a digital assistant (like Siri or Alexa) and an artificial personality.
audience
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.
meta description
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
short description
Enhance robots' perception with AI and ML techniques from neural networks to computer vision. From basic robotics to advanced techniques like NLP and reinforcement learning, this book guides you to create intelligent robots ready for real-world tasks.
subtitle
Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks
keywords
Robot books, ROS robot, A.I., Artificial Intelligence, artificial intelligence book, Cobot, Automation, RPA books, Industrial Automation, Machine Learning book, IoT, Chatbot, Siri, Google Assistant, Open CV, Raspberry Pi, Artificial Neural Networks
Product ISBN
9781805129592