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
Numéro d'article: 85336271

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

Numéro d'article: 85336271

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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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Ce qui se démarque

Comprehensive Guide
This second edition offers an extensive, clear roadmap for integrating AI into robotics, making complex subjects accessible to learners and practitioners alike.
Hands-On Projects
Includes practical projects using ROS 2, Python, and OpenCV, empowering readers to develop real-world robotic applications and enhancing their skill set effectively.
Updated Techniques
Covers the latest advancements in AI and ML, ensuring that users stay ahead of the technology curve while implementing innovative solutions in robotics.

Détails du produit

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 Réunion. 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 March 29, 2024
Edition 2nd
Language English
Print length 344 pages
ISBN-10 1805129597
ISBN-13 978-1805129592
Item Weight 1.3 pounds (590 grams)
Dimensions 7.5 x 0.78 x 9.25 inches (19.1 x 2 x 23.5 cm)

À qui est-ce destiné ?

Suitable For
  • Aspiring Robotics Engineers

    Perfect for individuals pursuing a career in robotics, providing essential skills and knowledge in AI and programming.

  • Academic Students

    Ideal for students studying robotics or computer science, offering practical applications of AI techniques in real-world scenarios.

  • Hobbyist Makers

    Great for enthusiasts looking to build personal projects, combining ROS 2 and AI to create innovative robotic applications.

Not Suitable For
  • Absolute Beginners

    Not suitable for those without any programming or robotics background; the material may be too complex to grasp.

DESCRIPTION DU PRODUIT

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Robotics & Automation Editorial Review

**** "Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AIML techniques for real-world tasks, 2nd Edition" emerges as a leading resource in robotics literature, particularly for those looking to merge AI with practical robotic applications. The author, Govers, an established figure in the field, presents an engaging and comprehensive guide that amalgamates various robotics disciplines, providing readers with a clear path to creating robots using modern machine learning techniques. The book's strong practical focus shines through, with clear instructions, abundant illustrations, and code examples that promise to guide readers through the complexities of robot building. By addressing critical topics such as computer vision, object recognition, genetic algorithms, and decision-making theory, it not only provides foundational knowledge but also leans into AI's significance in robotics. This multidisciplinary approach fosters a deeper understanding and allows for greater applicability of the concepts discussed. However, despite its many strengths, readers have noted some significant challenges. While the theoretical foundation is solid, the practical application can be daunting, even for those with intermediate to advanced skills. An outdated GitHub repository and discrepancies in the parts list hinder the Construction process, leading to frustration among users who expected a more streamlined building experience. Moreover, some coding examples fail to align with the latest ROS 2 standards, requiring readers to invest additional effort to adapt older code. While the content is undoubtedly valuable, Prospective readers should be prepared for a steep learning curve, particularly if they are new to robotics. The Considerable setup requirements and the need for troubleshooting could deter some. That said, the book's focus on AI applications in robotics makes it a compelling read for those who are ready to tackle the intricacies involved. In sum, while the book serves as an excellent academic resource for both beginners and intermediate learners entranced by the Prospect of building intelligent robots, one must proceed with an understanding of the potential challenges in practical application. **

Avis et évaluations clients

4.2
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Avantages

  • Comprehensive coverage of robotics topics including computer vision, genetic algorithms, and AI.
  • Clear explanations and practical approach with detailed instructions and illustrations.
  • Encourages understanding through a multidisciplinary perspective.
  • Useful for hands-on learners with a focus on real-world applications.

Les inconvénients

  • Outdated GitHub repository and parts list lead to practical challenges.

Historique des prix du produit

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