Artificial Intelligence for Robotics: Build intelligent robots using ROS 2 Python OpenCV and AI/ML techniques for real-world tasks
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KZT 30926
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Unlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques.
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- 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 autonomouslyKey FeaturesGain a holistic understanding of robot design, systems engineering, and task analysisImplement AI/ML techniques to detect and manipulate objects and navigate robots using landmarksIntegrate voice and natural language interactions to create a digital assistant and artificial personality for your robotPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnlock 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 learnGet started with robotics and AI essentialsUnderstand path planning, decision trees, and search algorithms to enhance your robotExplore object recognition using neural networks and supervised learning techniquesEmploy genetic algorithms to enable your robot arm to manipulate objectsTeach your robot to listen using Natural Language Processing through an expert systemProgram your robot in how to avoid obstacles and retrieve objects with machine learning and computer visionApply simulation techniques to give your robot an artificial personalityWho this book is forThis 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 ContentsThe Foundation of Robotics and Artificial IntelligenceSetting Up Your RobotConceptualizing the Practical Robot Design ProcessRecognizing Objects Using Neural Networks and Supervised LearningPicking Up and Putting Away Toys using Reinforcement Learning and Genetic AlgorithmsTeaching a Robot to ListenTeaching the Robot to Navigate and Avoid StairsPutting Things AwayGiving the Robot an Artificial PersonalityConclusions and ReflectionsQ and AApendix
| Publisher | Packt Publishing |
| Publication date | 29 Mar. 2024 |
| Edition | 2. |
| Language | English |
| Print length | 344 pages |
| ISBN-10 | 1805129597 |
| ISBN-13 | 978-1805129592 |
| Dimensions | 19.05 x 1.98 x 23.5 cm |
Who Should Buy?
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Aspiring Robotics Engineers
Individuals seeking to gain hands-on experience in building robots using advanced AI and programming languages.
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Students in Robotics
Students studying robotics who require practical applications and learning through structured projects and techniques.
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AI Enthusiasts
Users interested in the intersection of artificial intelligence and robotics, looking to enhance their skill set.
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Beginners in Programming
Complete beginners may struggle with the technical aspects without prior programming knowledge or experience.
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English edition Francis X. Govers III Format: Paperback Editorial Review
Artificial Intelligence For Robotics Build Intelligent Robots Using ROS 2 Python OpenCV And AI/ML Techniques For Real-world Tasks offers a comprehensive guide to integrating AI and robotics. With 344 pages of in-depth content published by Packt Publishing, the second edition is meticulously crafted to teach readers how to build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques. The book emphasizes practical applications, making it suitable for both beginners and experienced developers venturing into robotics. Readers will appreciate the clear explanations and real-world scenarios included throughout the chapters, allowing them to implement their knowledge effectively.
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Плюсы
- Comprehensive guide for building intelligent robots
- Focuses on practical applications of AI
- Includes real-world examples for better understanding
- Clear explanations suited for all skill levels
- Covers ROS 2, Python, and OpenCV integration
Минусы
- Some advanced topics may require prior knowledge
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KZT 30926
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Особенности и преимущества
- Learn to build intelligent robots using AI, ROS 2, Python, and OpenCV.
- Gain a holistic understanding of robot design and task analysis.
- Implement AI/ML techniques for object detection and navigation.
- Create voice and natural language interactions for user engagement.
- Master neural networks and genetic algorithms for smart decision-making.
- Transform robots into helpful assistants capable of tackling real-world tasks.
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