Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks
Unlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques.
Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks
Προϊόν #: 104375337

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

Προϊόν #: 104375337

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What Stands Out

Comprehensive Framework
Integrates ROS 2 with Python and OpenCV, providing a robust framework for building intelligent robots, making it easy for beginners to dive into robotics and AI applications.
Real-World Applications
Focuses on practical tasks and scenarios, ensuring users can effectively apply learned skills to solve actual robotics challenges, enhancing their learning experience and technical proficiency.
AI/ML Techniques
Incorporates advanced artificial intelligence and machine learning methods, empowering users to create adaptable and smart robots that can learn and improve over time, offering significant value in automation.

Λεπτομέρειες προιόντος

Shop Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks online at a best price in Greece. 1805129597
  • 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 2nd
Language English
Print length 344 pages
ISBN-10 1805129597
ISBN-13 978-1805129592
Item weight 590 g
Dimensions 19.05 x 1.98 x 23.5 cm

Who Should Buy?

Suitable For
  • Aspiring Developers

    This book is ideal for beginners looking to build skills in robotics and AI using popular technologies.

  • Engineering Students

    Perfect for students studying engineering or computer science, that need practical applications of theories learned in class.

  • Professionals in AI

    Great for experienced professionals seeking to enhance their robotics knowledge and integrate AI techniques effectively.

Not Suitable For
  • Absolute Beginners

    This book may overwhelm those with no prior knowledge of programming or robotics fundamentals.

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Ερωτήσεις & Απαντήσεις Πελατών

  • ερώτηση: What programming skills do I need to benefit from this book?

    απάντηση: Proficiency in Python programming is essential.
  • ερώτηση: Is this book suitable for beginners in robotics?

    απάντηση: While strong beginners can learn, it is primarily aimed at practicing robotics engineers and enthusiasts.
  • ερώτηση: Does the book include practical examples?

    απάντηση: Yes, it provides practical use cases and guidance for solving specific problems in robot design.

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