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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

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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

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The Machine Learning Solutions Architect Handbook

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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

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.

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.

E. Leonard Apr 28, 2024

I went into this title with some confidence as I have programmed for quite a while. I will say straight away this is not a good subject level, nor the best title for complete beginners. Even as an experienced developer the setup was quirky, took some time other than get settled and I had to backtrack and retrace steps a couple of times, but I got there but I did feel like a noob in many places thoughOnce you’re off and into the content it’s quite a lot to embrace. Some of the tooling was new to me, some of the idioms too. Sometimes I felt like I was copying along with magic, other places the title did a good job of making sure the penny dropped for me. I’d say this is a title I would definitely go through again at a slower pace as there was a multitude of places I could have paused and gone down a rabbit hole of additional reading and exploring. All in all it's a good title to stretch the skills into something new and really quite exciting once you get going. I didn’t quite feel like I had super powers at the end, but I did feel that once I’d actually mastered it I would be on the right track to getting some super powers. An intriguing title and a good choice if you’re looking for something new. I was somewhat familiar with some of the libraries used already which helped a lot, but I learned a lot too, or learned what I had to learn more about to become proficient.I would read more from this author. Intriguing stuff for sure.

ErnieA Jul 07, 2024

I had high hopes and was really looking forward to working through this book. The theory and concept are well written and easy to understand. However, actually building this project is a huge challenge for even the intermediate or advanced hobbyist. GitHub repo is outdated and not (yet) matching what the book is asking you to do. Same goes for the parts list or missing wiring diagrams. I've already spent around $500 trying to get this going but struggling just to get basic robot building done, let alone any coding or testing. I have a background in electrical engineering and machine learning so was hoping this book/project would provide a good base from which to continue my learning and experiments with AI driven approaches to robotics. Be warned, there's a lot of setup required first and a steep learning curve for anyone new to this. If the code/schedmatics improve I'll consider revising my review.

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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