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Mastering ROS2 and Python for Robotics

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  • Дата: 10-06-2025, 20:29
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Название: Mastering ROS2 and Python for Robotics: Develop Intelligent Autonomous Systems with Real-World Applications
Автор: Thompson Carter, Rafael Sanders, Miguel Farmer
Издательство: Lincoln Publishers
Год: 2025
Страниц: 496
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Take your robotics development skills to the next level with Mastering ROS2 and Python for Robotics, a comprehensive guide to designing, building, and deploying intelligent autonomous systems. Using Robot Operating System 2 (ROS2) and Python, this book provides hands-on experience in motion control, perception, AI-driven decision-making, and multi-robot collaboration for real-world applications.

Python, known for its simplicity and versatility, has become the preferred language for robotics development. Whether you're automating tasks, integrating sensors, or designing intelligent algorithms, Python offers the tools and frameworks necessary to bring your robotic visions to life.

Mastering Python is a cornerstone in your journey to becoming a robotics expert. Python's seamless integration with ROS2 (Robot Operating System 2) allows for the creation of modular, maintainable, and efficient robotic applications. The Chapter 2 provides the foundational and advanced Python skills required to develop sophisticated robotic systems, enhancing your ability to solve real-world problems and innovate within the robotics industry. Python's clean and readable syntax makes it ideal for robotics programming. Understanding variables, data types, control structures, and data structures is fundamental.

Whether you are a robotics engineer, AI developer, researcher, or automation enthusiast, this book will equip you with practical knowledge and industry-standard techniques to build smarter robotic systems.

What You’ll Learn:

ROS2 Fundamentals and Architecture: Get familiar with ROS2 nodes, topics, services, actions, and middleware communication.
Python for Robotics Programming: Use Python to develop robot behaviors, control systems, and AI-based decision-making.
Robot Kinematics and Control: Implement forward/inverse kinematics, PID control, and real-time motion planning.
SLAM and Autonomous Navigation: Deploy Simultaneous Localization and Mapping (SLAM) and ROS2’s Nav2 stack for robotic navigation.
Perception and Sensor Fusion: Integrate LiDAR, depth cameras, GPS, and IMU sensors to improve robotic awareness.
Computer Vision in Robotics: Apply OpenCV, YOLO, and deep learning for object detection, recognition, and tracking.
Multi-Robot Coordination and Swarm Robotics: Learn techniques for multi-agent collaboration and communication in swarm robotics.
Reinforcement Learning for Robotics: Train intelligent behaviors using deep reinforcement learning (DRL) frameworks like TensorFlow and PyTorch.
Human-Robot Interaction (HRI): Implement speech recognition, gesture control, and AI-based conversational interfaces.
Robotic Arm Manipulation: Program and control robotic manipulators using MoveIt! and inverse kinematics.
Autonomous Drone Programming: Build and program ROS2-powered UAVs for autonomous flight and real-time obstacle avoidance.
Simulating Robots in Gazebo: Test robotic applications in realistic 3D environments before deploying them to hardware.
Deploying Robots in Industrial and Real-World Scenarios: Learn best practices for robot deployment, cloud integration, and IoT connectivity.
Security and Safety in Robotics: Implement cybersecurity measures, fault-tolerant systems, and emergency response protocols.
Hands-On Projects: Build practical projects, including self-driving robots, warehouse automation systems, robotic arms, and AI-powered service robots.

Who Is This Book For?
This book is perfect for robotics engineers, software developers, AI enthusiasts, students, and researchers who want to master ROS2 and Python for building autonomous robotic systems.

Why Choose This Book?
With its step-by-step guidance, hands-on projects, and expert insights, Mastering ROS2 and Python for Robotics bridges the gap between theory and real-world implementation, empowering you to create intelligent robotic applications for a variety of industries.

Start building advanced robotic systems today with "Mastering ROS2 and Python for Robotics: Develop Intelligent Autonomous Systems with Real-World Applications"—your complete guide to modern robotics development.

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