Item #:
185840147
Artificial Intelligence for Robotics: Build intelligent robots using ROS 2 Python OpenCV and AI/ML techniques for real-world tasks
Item #:
185840147
XCD 157
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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.
Product Details
| 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?
-
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.
Product Description
Artificial Intelligence for Robotics: Build intelligent robots using ROS 2 Python OpenCV and AI/ML techniques for real-world tasks
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Pros
- Comprehensive coverage of topics
- Easy-to-follow tutorials
- Practical real-world applications
- Great for beginners and pros
- Supports multiple programming languages
Cons
- Some sections may feel a bit rushed.
Product Price History
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XCD 157
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Features & Benefits
- 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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