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Key benefits

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

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.

Who is this book 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.

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

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Colour book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

The Machine Learning Solutions Architect Handbook

$49.99

$44.99

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Total $ 144.97

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Amazon verified reviews

Steven Fernandes Apr 20, 2024

Good resource for anyone diving into the realms of robotics and artificial intelligence. The book adeptly covers foundational topics like path planning, decision trees, and search algorithms, making complex concepts accessible and applicable. Its exploration of object recognition through neural networks and supervised learning is detailed and practical, perfect for hands-on learners. The sections on employing genetic algorithms to manipulate objects with robot arms are clear and informative, demonstrating the real-world utility of these algorithms. Additionally, the coverage of Natural Language Processing enables robots to understand and process human language, a crucial skill in AI development.Programming guidance for obstacle avoidance and object retrieval using machine learning and computer vision is thorough, with practical examples that are easy to follow. The book also creatively applies simulation techniques to give robots a semblance of personality, making it a fascinating read for those interested in the future of human-robot interactions. Overall, this book is a comprehensive guide that blends theoretical knowledge with practical application, making it a must-read for beginners and intermediate learners in robotics.

Amazon Verified review

Sim Jun 03, 2024

The book is really well written and it explain the concept into a really compressible way that is not complicated at all.I’m half way through and I really find it interesting.Looking forward to start coding. I think is an excellent way to learn easily different topics of ml that can sometime be boring or difficult to digest.There has been an initial delay from the author of sharing the list of hardware needed if you want to replicate the whole project for real, that is now sorted.Fantastic book no doubts about it!

Thomas M. Apr 22, 2024

AI for Robotics is a comprehensive and engaging guide that empowers readers with the essential skills to create their own robots using ML techniques. The book covers a wide range of topics, including computer vision, object recognition, genetic algorithms, and reinforcement learning, providing a solid foundation for both beginners and experienced roboticists.One of the strengths of this book is its practical approach. Govers, who, for anyone in the field knows, is an established pioneer in robotics and AI, provides detailed instructions and clear explanations, making it easy for readers to follow along and build their own robots. The book also includes numerous illustrations and code examples, which further enhance the learning experience.Another highlight of the book is its holistic framing, with content at the intersection of coding (modern frameworks with Python), ML techniques, and decision-making theory. The author recognizes the importance of AI in modern robotics, but doesn't shy away from a more multi-disciplinary perspective. This combination make the lessons land in a deeper way. Few books out there that I've seen blend all the various topics of robotics together in such a seamless way.Overall, this is an excellent resource for anyone interested in building their own robots (including beginners). The book's comprehensive coverage, practical approach, and focus on AI make it a valuable addition to the robotics literature. I highly recommend it to anyone who wants to learn how to build and program their own robots.

N/A Jan 28, 2025

A good book on general knowledge and requirement to go furthermore.

Feefo Verified review

JCM Jul 06, 2024

The book takes on the task of introducing AI techniques for programming a mobile robot. The chapters progressively cover AI-generated perception, navigation, and human-computer interaction tasks. This is distinctly different than the usual command and control paradigm used by most introductory robotics guides. The concepts are covered in a thorough and compelling manner with the intermediate student or hobbyist in mind. However, the reader should be aware that the example code is not consistently in ROS2. Some code is transferred from the first edition of the book and is in ROS1 and Python 2. The code will require a rewrite to ROS2. Something the intermediate student should be able to accomplish. Although individual tasks are complete as written, some additional code will need to be written to produce a fully functional robot. These deficiencies could be easily corrected with some additional example code on the GitHub repository.

Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks , Second Edition

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