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Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks
90% of respondents would recommend this to a friend
€ 41
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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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Detalji o proizvodu
| 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) |
Who Should Buy?
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Aspiring Robotics Engineers
Perfect for individuals pursuing a career in robotics, providing essential skills and knowledge in AI and programming.
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Academic Students
Ideal for students studying robotics or computer science, offering practical applications of AI techniques in real-world scenarios.
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Hobbyist Makers
Great for enthusiasts looking to build personal projects, combining ROS 2 and AI to create innovative robotic applications.
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Absolute Beginners
Not suitable for those without any programming or robotics background; the material may be too complex to grasp.
OPIS PROIZVODA
Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks
Pitanja i odgovori kupaca
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odgovor: Vrijeme isporuke vašeg naručenog proizvoda ovisi o tome što ste naručili i načinu dostave koji ste odabrali.. Predviđeno vrijeme dostave navedeno je tijekom procesa naplate, stoga budite bezbrižni prilikom kupovine.
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. **
Customer Reviews & Ratings
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Pros
- 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.
Protiv
- Outdated GitHub repository and parts list lead to practical challenges.
Product Price History
Važne informacije
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€ 41
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Značajke i prednosti
- 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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