The book provides hands-on experience with real-world robotics challenges, covering everything from basic node programming to advanced topics like behavior trees, Nav2 navigation stack, and MoveIt 2 manipulation framework. Readers will learn to integrate modern AI technologies including large language models, deep reinforcement learning, and computer vision systems into their robotic applications.
With over 12 detailed chapters and practical Python implementations, this book bridges the gap between theoretical robotics concepts and industrial applications. Each chapter includes comprehensive examples, testing strategies, and performance optimization techniques essential for building robust, scalable robotic systems.
Whether you're developing autonomous mobile robots, industrial manipulators, or AI-powered perception systems, this book provides the expertise needed to create sophisticated robotics solutions using ROS 2's powerful ecosystem and Python's versatility.
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