Artificial Intelligence for Robotics. Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks - Second Edition - Helion
Tytuł oryginału: Artificial Intelligence for Robotics. Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks - Second Edition
ISBN: 9781805124399
stron: 344, Format: ebook
Data wydania: 2024-03-29
Księgarnia: Helion
Cena książki: 129,00 zł
Unlock 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 second edition of the book equips you with the latest tools, new and expanded topics such as object recognition and creating artificial personality, 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 using YOLO and genetic algorithms to teach your robot to identify and pick up objects, leverage natural language processing to give your robot a voice, and 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.
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Spis treści
Artificial Intelligence for Robotics. Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks - Second Edition eBook -- spis treści
- 1. The Foundation of Robotics and Artificial Intelligence
- 2. Setting Up Your Robot
- 3. Conceptualizing the Practical Robot Design Process
- 4. Recognizing Objects Using Neural Networks and Supervised Learning
- 5. Picking Up and Putting Away Toys using Reinforcement Learning and Genetic Algorithms
- 6. Teaching a Robot to Listen
- 7. Teaching the Robot to Navigate and Avoid Stairs
- 8. Putting Things Away
- 9. Giving the Robot an Artificial Personality
- 10. Conclusions and Reflections
- 11. Q and A
- 12. Apendix