Programming Autonomous Robots With Ros2 And Python
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Programming Autonomous Robots with ROS2 and Python
Author: RAFAEL. SANDERS
language: en
Publisher: Independently Published
Release Date: 2025-02-13
Programming Autonomous Robots with ROS2 and Python: A Practical Guide to Building Smart Robot Behaviors for Navigation, Sensing, and Interaction Master the fundamentals of robot programming, automation, and AI-driven behaviors with Programming Autonomous Robots with ROS2 and Python. This hands-on guide equips you with the essential tools to build and control intelligent robotic systems using ROS2 (Robot Operating System 2) and Python. Whether you're a robotics student, researcher, or developer, this book covers everything from setting up your first ROS2 workspace to implementing real-world robot applications for navigation, sensing, and interaction. What You'll Learn: Introduction to ROS2: Understand the core architecture, communication model, and essential tools in Robot Operating System 2. Setting Up Your Development Environment: Install ROS2, configure Python libraries, and work with simulation tools like Gazebo and RViz. ROS2 Nodes, Topics, and Services: Learn how to create, manage, and communicate between ROS2 nodes efficiently. Robot Kinematics and Motion Planning: Implement algorithms to control robotic arms, wheeled robots, and drones. Navigation and Path Planning: Use SLAM (Simultaneous Localization and Mapping) and A (A-star) algorithms* for autonomous navigation. Sensor Integration: Work with LiDAR, depth cameras, IMUs, and GPS to gather environmental data and enhance robotic perception. Computer Vision for Robots: Implement OpenCV and AI-based image processing for object detection, recognition, and tracking. Robot-Environment Interaction: Design and control robotic manipulators, grippers, and robotic hands for physical tasks. Machine Learning for Robotics: Train and integrate AI models for autonomous decision-making and reinforcement learning. Multi-Robot Coordination: Learn how multiple robots communicate and collaborate in swarm robotics applications. Testing and Debugging in ROS2: Use simulation environments like Gazebo to test robot behaviors before real-world deployment. Deploying Autonomous Robots: Optimize performance and deploy robots in industrial, healthcare, and service environments. Edge AI and Robotics: Integrate AI-powered edge computing for low-latency robotic applications. Hands-On Projects: Build real-world robotic applications, including self-driving robots, robotic arms, and AI-assisted navigation systems. Who Is This Book For? This book is perfect for robotics engineers, AI developers, automation specialists, and students interested in mastering autonomous robot programming using ROS2 and Python. Why Choose This Book? With step-by-step tutorials, practical projects, and expert insights, Programming Autonomous Robots with ROS2 and Python helps you bridge the gap between theory and application, empowering you to build intelligent robots that interact with the real world. Start building smarter robots today with Programming Autonomous Robots with ROS2 and Python: A Practical Guide to Building Smart Robot Behaviors for Navigation, Sensing, and Interaction-your ultimate guide to robot autonomy.
Ultimate Robotics Programming with ROS 2 and Python
Author: Jonathan Cacace
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2024-12-30
TAGLINE Learn Robotics and ROS 2 with Practical Examples KEY FEATURES ● Solve basic and complex robotics problems through practical examples. ● Master ROS 2 programming fundamentals with Python for robotics. ● Simulate mobile and industrial robots using modern Gazebo tools. DESCRIPTION Robot Operating System (ROS) and Python are essential tools for developing advanced robotics applications, offering reliability and scalability for both research and industrial solutions. [Ultimate Robotics Programming with ROS 2 and Python] introduces readers to ROS 2 without requiring prior experience in robotics. It blends theoretical explanations with practical exercises, empowering readers to solve specific robotics problems while understanding the reasoning behind various approaches. The book covers a broad spectrum of robotics topics, including mobile robots, industrial manipulators, and aerial robots. These systems are simulated using the modern Gazebo simulator and programmed with ROS 2’s out-of-the-box tools and custom solutions using the ROS 2 API. The book also delves into computer vision, generative AI, and machine learning, providing hands-on examples of real-world applications. With intermediate challenges designed to reinforce learning, this book serves as an all-encompassing guide for anyone looking to master robotics programming with ROS 2 and Python. Step into the future of robotics and gain the expertise to build sophisticated, real-world robotic systems that can tackle the complex challenges of tomorrow. WHAT WILL YOU LEARN ● Understand the fundamentals of ROS 2 for robotics development. ● Develop robotics applications using Python and ROS 2 programming. ● Master advanced ROS 2 packages for navigation and manipulation. ● Implement behavior trees in ROS 2 with Python for intelligent robots. ● Utilize modern Gazebo for realistic robot simulation with ROS 2. ● Integrate Large Language Models (LLMs) with ROS 2 for advanced functionalities. ● Perform computer vision tasks with ROS 2 for intelligent robots. WHO IS THIS BOOK FOR? This book is tailored for software developers and engineers looking to dive into robotics programming. It’s perfect for ROS developers seeking to expand their skills and those new to ROS 2, offering in-depth insights into both foundational concepts and advanced techniques in robotics development. TABLE OF CONTENTS 1. Introduction to Robot Operating System 2 2. Hands-on ROS 2 Programming Using Python 3. Supplementary Tools for ROS 2 4. Robot Visualization and Simulation 5. Writing Tests Using Pytest for ROS 2 Nodes 6. Controlling an Inverted Pendulum with a PID Controller 7. Laser-based Obstacle Avoidance with a Wheeled Mobile Robot 8. ROS 2 Behaviour Trees Using Python 9. Surveillance System Using Behaviour Trees 10. Robot Navigation Using ROS 2 Navigation Stack (Nav2) 11. Robot Arm Control Using MoveIt 2 12. Programming Aerial Robots Using ROS 2 13. Computer Vision Using ROS 2 14. Object Detection Using ROS 2 15. Using Large Language Models with ROS 2 16. Deep Reinforcement Learning Using ROS 2 Index
The ROS2 and Python Robotics Playbook
Author: RAFAEL. SANDERS
language: en
Publisher: Independently Published
Release Date: 2025-02-14
The ROS2 and Python Robotics Playbook: Designing and Controlling Autonomous Robots for Navigation and Real-World Interaction Unlock the full potential of ROS2 and Python with The ROS2 and Python Robotics Playbook, your hands-on guide to designing, programming, and controlling autonomous robots. This book provides practical insights, real-world projects, and step-by-step techniques to help you master robot navigation, perception, and intelligent interaction for real-world applications. Whether you're a robotics engineer, AI developer, researcher, or automation enthusiast, this book equips you with cutting-edge tools and strategies to build smart, autonomous robotic systems. What You'll Learn: ROS2 Fundamentals & Python Integration: Set up and develop ROS2 nodes, topics, services, and actions using Python. Robot Motion & Kinematics: Implement PID control, trajectory planning, and inverse kinematics for precise movement. SLAM & Autonomous Navigation: Deploy Simultaneous Localization and Mapping (SLAM) and Nav2 stack for real-time navigation. Sensor Fusion & Perception: Integrate LiDAR, depth cameras, IMUs, and GPS to enhance robotic awareness. Computer Vision & Object Detection: Use OpenCV and deep learning for real-time detection, recognition, and tracking. Multi-Robot Systems & Collaboration: Develop swarm robotics and coordinated multi-agent systems. Human-Robot Interaction (HRI): Implement speech recognition, gesture control, and AI-powered conversational interfaces. AI & Reinforcement Learning for Robotics: Train intelligent robotic behaviors using machine learning and deep reinforcement learning. Autonomous Drone Programming: Control ROS2-powered UAVs for aerial navigation and obstacle avoidance. Simulation & Testing in Gazebo: Develop and test robotic applications in realistic 3D environments before deployment. Deploying Real-World Robotics Applications: Optimize robots for industrial, healthcare, and service-based use cases. Cybersecurity & Safety in Robotics: Implement secure communication, fail-safe mechanisms, and compliance measures. Who Is This Book For? This book is perfect for robotics engineers, AI developers, automation professionals, and students looking to master ROS2 and Python for autonomous robotics. Why Choose This Book? With step-by-step guidance, hands-on projects, and expert insights, The ROS2 and Python Robotics Playbook bridges the gap between theory and real-world robotics, empowering you to create intelligent robotic systems that interact with complex environments. Start building smart robots today with The ROS2 and Python Robotics Playbook: Designing and Controlling Autonomous Robots for Navigation and Real-World Interaction.