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Autonomous Robotics with ROS2 and Python : From Basics to Advanced Behavior Control for Intelligent Systems
Autonomous Robotics with ROS2 and From Basics to Advanced Behavior Control for Intelligent Systems
Unlock the full potential of autonomous robotics with Autonomous Robotics with ROS2 and Python, a comprehensive guide that takes you from foundational concepts to advanced behavior control in intelligent robotic systems. Using Robot Operating System 2 (ROS2) and Python, this book provides hands-on knowledge to design, build, and deploy smart, self-navigating robots for real-world applications.
Whether you're a robotics student, researcher, or engineer, this book equips you with the technical skills and practical experience to master robot perception, motion planning, and AI-driven decision-making.
What You’ll Introduction to ROS2 and Python for Set up ROS2 development environments, understand its core architecture, and program your first robot.Robot Kinematics and Motion Implement forward and inverse kinematics, PID controllers, and motion control algorithms.Navigation and Path Utilize SLAM (Simultaneous Localization and Mapping), A algorithms*, and ROS2’s Nav2 stack for real-world autonomous navigation.Perception and Sensor Integrate LiDAR, depth cameras, IMUs, and GPS to enhance robot awareness.Computer Vision and Object Apply OpenCV, YOLO, and deep learning-based vision models for real-time object recognition.Multi-Robot Develop swarm robotics behaviors for collaborative decision-making and optimized resource allocation.Human-Robot Interaction (HRI): Implement speech recognition, gesture control, and AI-powered conversational interfaces for robots.AI and Reinforcement Learning for Train intelligent robotic behaviors using deep reinforcement learning frameworks like TensorFlow and PyTorch.Autonomous Drone Build and control quadcopters using ROS2-based flight controllers and real-time obstacle avoidance.Simulation & Testing with Test and debug robotic applications in realistic physics-based environments before deploying to hardware.Deploying Robots in Real-World Optimize power efficiency, networking, and ROS2 cloud integration for scalable robotic systems.Security and Safety in Implement best practices for cybersecurity, fail-safe mechanisms, and emergency recovery protocols.Hands-On Build real-world applications, including self-driving robots, warehouse automation bots, and AI-driven service robots.Who Is This Book For?This book is designed for robotics engineers, automation professionals, AI developers, students, and researchers who want to master autonomous robotic systems using ROS2 and Python.
Whether you're a robotics student, researcher, or engineer, this book equips you with the technical skills and practical experience to master robot perception, motion planning, and AI-driven decision-making.
What You’ll Introduction to ROS2 and Python for Set up ROS2 development environments, understand its core architecture, and program your first robot.Robot Kinematics and Motion Implement forward and inverse kinematics, PID controllers, and motion control algorithms.Navigation and Path Utilize SLAM (Simultaneous Localization and Mapping), A algorithms*, and ROS2’s Nav2 stack for real-world autonomous navigation.Perception and Sensor Integrate LiDAR, depth cameras, IMUs, and GPS to enhance robot awareness.Computer Vision and Object Apply OpenCV, YOLO, and deep learning-based vision models for real-time object recognition.Multi-Robot Develop swarm robotics behaviors for collaborative decision-making and optimized resource allocation.Human-Robot Interaction (HRI): Implement speech recognition, gesture control, and AI-powered conversational interfaces for robots.AI and Reinforcement Learning for Train intelligent robotic behaviors using deep reinforcement learning frameworks like TensorFlow and PyTorch.Autonomous Drone Build and control quadcopters using ROS2-based flight controllers and real-time obstacle avoidance.Simulation & Testing with Test and debug robotic applications in realistic physics-based environments before deploying to hardware.Deploying Robots in Real-World Optimize power efficiency, networking, and ROS2 cloud integration for scalable robotic systems.Security and Safety in Implement best practices for cybersecurity, fail-safe mechanisms, and emergency recovery protocols.Hands-On Build real-world applications, including self-driving robots, warehouse automation bots, and AI-driven service robots.Who Is This Book For?This book is designed for robotics engineers, automation professionals, AI developers, students, and researchers who want to master autonomous robotic systems using ROS2 and Python.
323 pages, Kindle Edition
Published February 12, 2025
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