Artificial Intelligence for Robotics: Build intelligent robots using ROS 2 Python OpenCV and AI/ML techniques for real-world tasks
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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
Nº de artículo: 185840147

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

86% of respondents would recommend this to a friend

Nº de artículo: 185840147

UYU 2597

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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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What Stands Out

Comprehensive Curriculum
Offers a thorough guide to combining ROS 2 with Python, OpenCV, and AI/ML, ensuring beginners to advanced users master robotics programming effectively.
Practical Applications
Focuses on real-world tasks, empowering readers to build intelligent robots that solve actual problems, enhancing learning through practical experience.
Multi-Disciplinary Techniques
Integrates various cutting-edge technologies, providing a holistic approach to robotics that prepares users for diverse challenges in the field of AI and robotics.

Detalles de producto

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 Uruguay. 1805129597
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?

Suitable For
  • Aspiring Robotics Engineers

    Individuals seeking to gain hands-on experience in building robots using advanced AI and programming languages.

  • Students in Robotics

    Students studying robotics who require practical applications and learning through structured projects and techniques.

  • AI Enthusiasts

    Users interested in the intersection of artificial intelligence and robotics, looking to enhance their skill set.

Not Suitable For
  • Beginners in Programming

    Complete beginners may struggle with the technical aspects without prior programming knowledge or experience.

DESCRIPCIÓN DEL PRODUCTO

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

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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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ventajas

  • 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

Contras

  • Some advanced topics may require prior knowledge

Product Price History

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UYU 2597

Haz tu pedido ahora y recíbelo por ahí Miércoles, Octubre 21

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características y beneficios

  • 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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