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Expert Ros2 And Python For Autonomous Robotics


Expert Ros2 And Python For Autonomous Robotics
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Expert Ros2 And Python For Autonomous Robotics


Expert Ros2 And Python For Autonomous Robotics
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Author : RAFAEL. SANDERS
language : en
Publisher: Independently Published
Release Date : 2025-02-13

Expert Ros2 And Python For Autonomous Robotics written by RAFAEL. SANDERS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Computers categories.


Expert ROS2 and Python for Autonomous Robotics: Advanced Techniques for Intelligent Systems, Machine Learning, and Multi-Robot Coordination Master the next generation of autonomous robotics with Expert ROS2 and Python for Autonomous Robotics, a hands-on guide designed for engineers, researchers, and developers seeking to build intelligent, scalable, and highly efficient robotic systems. This book dives deep into advanced ROS2 programming, AI-driven decision-making, and multi-robot coordination, equipping you with the expertise to design, simulate, and deploy real-world autonomous robotic applications. Using Python and ROS2 (Robot Operating System 2), you'll learn to build, optimize, and manage autonomous robots with advanced navigation, sensor fusion, and collaborative behavior. Whether you're working on self-driving robots, industrial automation, drone swarms, or robotic arms, this book provides the techniques and best practices to develop cutting-edge robotic solutions. What You'll Learn: ✅ Advanced ROS2 Development - Harness the full capabilities of ROS2, including node management, communication patterns, and real-time processing for mission-critical applications. ✅ Machine Learning for Robotics - Integrate AI-powered object recognition, behavior prediction, and adaptive control to enhance robot intelligence. ✅ Multi-Robot Coordination - Implement distributed robotics, swarm intelligence, and collaborative task execution using ROS2 middleware. ✅ Autonomous Navigation & Path Planning - Master SLAM (Simultaneous Localization and Mapping), obstacle avoidance, and trajectory optimization with A*, RRT, and Dijkstra algorithms. ✅ Sensor Fusion & Perception - Work with LiDAR, depth cameras, IMUs, and radar to build robust 3D mapping and perception systems. ✅ Real-Time Control & Actuation - Implement PID controllers, kinematics models, and inverse dynamics for precise robotic movement. ✅ Cloud & Edge Computing for Robotics - Deploy ROS2-powered robots on AWS RoboMaker, Azure, and edge AI platforms for real-time processing. ✅ Simulation & Testing - Use Gazebo, RViz, Docker, and ROS2 Foxy/Humble to prototype and validate robotics applications. ✅ Security & Performance Optimization - Enhance robotic system reliability, cybersecurity, and low-latency operations in high-performance environments. ✅ Real-World Applications - Apply ROS2 and AI techniques to autonomous delivery robots, drone navigation, industrial automation, and smart healthcare robotics. With expert insights, practical code examples, and hands-on projects, this book provides a comprehensive roadmap to mastering advanced robotics with ROS2 and Python. If you're serious about developing intelligent autonomous robots, this is the ultimate guide to ROS2 and AI-powered robotics.



Ultimate Robotics Programming With Ros 2 And Python


Ultimate Robotics Programming With Ros 2 And Python
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Author : Jonathan Cacace
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-12-30

Ultimate Robotics Programming With Ros 2 And Python written by Jonathan Cacace and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.


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



Autonomous Robotics With Ros2 And Python


Autonomous Robotics With Ros2 And Python
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Author : RAFAEL. SANDERS
language : en
Publisher: Independently Published
Release Date : 2025-02-14

Autonomous Robotics With Ros2 And Python written by RAFAEL. SANDERS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Computers categories.


Autonomous Robotics with ROS2 and Python: 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 Learn: Introduction to ROS2 and Python for Robotics: Set up ROS2 development environments, understand its core architecture, and program your first robot. Robot Kinematics and Motion Control: Implement forward and inverse kinematics, PID controllers, and motion control algorithms. Navigation and Path Planning: Utilize SLAM (Simultaneous Localization and Mapping), A algorithms*, and ROS2's Nav2 stack for real-world autonomous navigation. Perception and Sensor Fusion: Integrate LiDAR, depth cameras, IMUs, and GPS to enhance robot awareness. Computer Vision and Object Detection: Apply OpenCV, YOLO, and deep learning-based vision models for real-time object recognition. Multi-Robot Coordination: 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 Robotics: Train intelligent robotic behaviors using deep reinforcement learning frameworks like TensorFlow and PyTorch. Autonomous Drone Programming: Build and control quadcopters using ROS2-based flight controllers and real-time obstacle avoidance. Simulation & Testing with Gazebo: Test and debug robotic applications in realistic physics-based environments before deploying to hardware. Deploying Robots in Real-World Environments: Optimize power efficiency, networking, and ROS2 cloud integration for scalable robotic systems. Security and Safety in Robotics: Implement best practices for cybersecurity, fail-safe mechanisms, and emergency recovery protocols. Hands-On Projects: 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. Why Choose This Book? With step-by-step guidance, real-world projects, and expert insights, Autonomous Robotics with ROS2 and Python bridges the gap between theory and implementation, enabling you to build intelligent robotic systems that interact with complex environments. Start developing smarter robots today with Autonomous Robotics with ROS2 and Python: From Basics to Advanced Behavior Control for Intelligent Systems-your complete guide to modern autonomous robotics.



The Ros2 And Python Robotics Playbook


The Ros2 And Python Robotics Playbook
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Author : RAFAEL. SANDERS
language : en
Publisher: Independently Published
Release Date : 2025-02-14

The Ros2 And Python Robotics Playbook written by RAFAEL. SANDERS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Computers categories.


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.



Programming Autonomous Robots With Ros2 And Python


Programming Autonomous Robots With Ros2 And Python
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Author : RAFAEL. SANDERS
language : en
Publisher: Independently Published
Release Date : 2025-02-13

Programming Autonomous Robots With Ros2 And Python written by RAFAEL. SANDERS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Computers categories.


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.



Ros2 And Python In Action


Ros2 And Python In Action
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Author : RAFAEL. SANDERS
language : en
Publisher: Independently Published
Release Date : 2025-02-14

Ros2 And Python In Action written by RAFAEL. SANDERS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Computers categories.


ROS2 and Python in Action: Building Intelligent Robots for Navigation, Sensing, and Real-World Problem Solving Master the power of ROS2 and Python to build intelligent, autonomous robots capable of navigation, sensing, and real-world decision-making. This hands-on guide takes you from fundamental robotics concepts to advanced applications, providing step-by-step instructions for developing smart robotic systems. Whether you're a robotics engineer, AI developer, or automation enthusiast, this book equips you with the skills to design, program, and deploy autonomous robots for various real-world applications. What You'll Learn: ROS2 Fundamentals & Python Integration: Set up ROS2 nodes, topics, services, and actions with Python. Robot Motion Control: Implement kinematics, PID controllers, and trajectory planning for precise movement. Autonomous Navigation & Mapping: Use SLAM (Simultaneous Localization and Mapping) and Nav2 stack for navigation. Sensor Integration & Perception: Work with LiDAR, depth cameras, GPS, and IMUs to enhance robotic awareness. Computer Vision & Object Recognition: Apply OpenCV and deep learning for real-time detection and tracking. Multi-Robot Systems & Swarm Robotics: Enable collaborative and coordinated behaviors in robotic fleets. Human-Robot Interaction (HRI): Implement speech recognition, gesture control, and AI-powered interfaces. AI & Reinforcement Learning for Robotics: Train intelligent robotic behaviors using machine learning and DRL. Autonomous Drone Programming: Control ROS2-powered UAVs for aerial navigation and obstacle avoidance. Simulation & Testing in Gazebo: Develop and test robots in physics-based environments before real-world deployment. Deploying Real-World Robotics Applications: Optimize robots for industrial, healthcare, and service-based use cases. Who Is This Book For? This book is ideal for robotics engineers, AI developers, automation professionals, and students looking to master ROS2 and Python for autonomous robotics. Why Choose This Book? With practical examples, real-world projects, and expert insights, ROS2 and Python in Action provides a clear, structured approach to modern robotics development, empowering you to build intelligent robotic systems. Start developing smart robots today with ROS2 and Python in Action: Building Intelligent Robots for Navigation, Sensing, and Real-World Problem Solving.



Ros 2 From Scratch


Ros 2 From Scratch
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Author : Edouard Renard
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-22

Ros 2 From Scratch written by Edouard Renard and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Technology & Engineering categories.


A comprehensive, step-by-step guide to understanding the basics of robotics and creating your own robotics applications within days, not months Key Features Build a strong foundation in ROS 2 and instill confidence for future robotics projects Leverage best practices to create scalable ROS 2 applications with Python and C++ Follow a step-by-step process to create and simulate a custom robot using ROS 2 Purchase of the print or Kindle book includes a free PDF eBook Book Description ROS 2 from Scratch, written by the cofounder of a robotics company with years of experience in teaching and engineering, will equip you with the skills necessary to develop cutting-edge robotic systems efficiently. This book will help you understand why you should use Robot Operating System (ROS), clarifying what ROS is and isn’t. It focuses on applied learning—no unnecessary filler, no abstract theory, and no abrupt leaps into complex topics. You’ll discover how to install ROS 2, set up your environment, and explore concepts through hands-on experiments, as well as create a ROS 2 application for a custom robot. The chapters expand upon core concepts such as nodes, communication via topics, client-server interactions with services, complex behaviors using actions, runtime configurations with parameters, and seamless node orchestration via launch files. Each concept is clearly explained with the help of real-life analogies and practical examples, using Python and C++. The book will also guide you through creating a real-world project that incorporates TFs, URDF, RViz, and Gazebo. By the end of this book, you’ll be able to create new software for any robot in no time and easily join existing projects for new job roles, research endeavors, and beyond. What you will learn Understand what ROS 2 is, when to use it, and how to use it Write ROS 2 programs using nodes, topics, services, actions, and custom interfaces Scale your application with parameters and launch files Get a complete overview of how TFs work for any ROS-powered robot Create a robot model (with URDF) and visualize TFs on RViz Adapt the URDF to spawn and control your robot in the Gazebo simulator Who this book is for This book is for engineers, researchers, teachers, students, and hobbyists eager to learn ROS 2 from scratch and build real-world robotics applications efficiently. If you’re struggling to get started with ROS 2 or find existing tutorials overwhelming, then this book is for you. This book teaches you all the basics you need to create your own ROS 2 apps, without prior ROS knowledge. Basic Linux command line and Python programming skills (C++ optional for following the C++ code examples) are necessary.



Cloud Powered Robotics With Raspberry Pi


Cloud Powered Robotics With Raspberry Pi
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Author : Edgardo Peregrino
language : en
Publisher: BPB Publications
Release Date : 2023-11-21

Cloud Powered Robotics With Raspberry Pi written by Edgardo Peregrino and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-21 with Computers categories.


Learn how to use cloud native tools for robotics KEY FEATURES ● Learn the basics of DevOps and Cloud Native Computing. ● Learn how to build a robot using web frameworks like Flask. ● Learn how to use Docker to containerize your applications. ● Learn how to orchestrate your Raspberry Pi containers with Kubernetes. ● Learn how to use GitHub Actions and Argo CD to test and deploy applications. ● Learn how to use Prometheus to gather metrics. ● Learn how to build a Dashboard with Grafana. DESCRIPTION Embrace the transformative power of cloud robotics with Cloud-Powered Robotics with Raspberry Pi, your ultimate guide to building and deploying intelligent robotic applications using cutting-edge DevOps and cloud native tools. Immerse yourself in the fundamentals of DevOps, mastering the principles and practices that streamline software development and deployment. Uncover the intricacies of cloud native tools like Docker and Kubernetes, learning how to containerize, orchestrate, and manage your robotic applications with unparalleled efficiency. Transform your knowledge into action by constructing a comprehensive robot monitoring system step by step. Through this hands-on project, you will gain practical experience with cloud native tools, solidifying your understanding of their applications and empowering you to leverage their capabilities for your own projects. Explore the boundless potential of cloud native computing in robotics, discovering how these tools are revolutionizing industries like assembly, farming, and medicine. Gain insights from real-world case studies, witnessing how small companies are harnessing the power of cloud native tools to create innovative robotic solutions. Join the forefront of cloud robotics and empower yourself to build, deploy, and monitor intelligent robotic applications that transform industries and shape the future. WHAT YOU WILL LEARN ● Learn the basics of DevOps and Cloud Native Computing. ● Learn how to use cloud native tools by building a robot monitoring application. ● Learn how each tool works and understand the concepts of cloud native computing along the way. ● Specific examples of how to use cloud native tools in other fields such as assembly, farming and medicine. WHO THIS BOOK IS FOR This book is for DevOps engineers who are already familiar with these tools and want to apply them to other projects, software developers who want to learn cloud native tools for the first time, robotics and IoT enthusiasts and engineers who want to learn cloud native tools to apply them to their projects. The only requirements are knowing the basics of Python, Node.js or Java. TABLE OF CONTENTS 1. Introduction to DevOps and Cloud Native Computing 2. Flask Robot Control 3. Node.js/Express Robot Control 4. Spring Boot Robot Control 5. Containerization with Docker 6. Container Orchestration with Kubernetes 7. Continuous Integration with GitHub Actions 8. Continuous Delivery with Argo CD 9. Monitoring with Prometheus 10. Building a Dashboard with Grafana 11. Use Cases and the Future of Cloud Native for Robotics



Innovative Robotics With Ros2 And Python


Innovative Robotics With Ros2 And Python
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Author : RAFAEL. SANDERS
language : en
Publisher: Independently Published
Release Date : 2025-02-13

Innovative Robotics With Ros2 And Python written by RAFAEL. SANDERS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Computers categories.


Innovative Robotics with ROS2 and Python: Advanced Concepts for Building Intelligent, Interactive, and Multi-Robot Systems Step into the future of robotics with Innovative Robotics with ROS2 and Python, the ultimate guide to designing, programming, and deploying intelligent, interactive, and multi-robot systems. This book is crafted for robotics engineers, AI developers, and researchers looking to master ROS2 (Robot Operating System 2) and Python for advanced robotic applications in real-world environments. With a focus on multi-robot collaboration, AI-driven perception, and autonomous navigation, this book takes you beyond the basics-teaching you cutting-edge techniques for designing robots that think, sense, and adapt. Whether you're working on autonomous mobile robots, industrial automation, AI-powered drones, or robotic arms, this guide provides hands-on projects, expert insights, and industry best practices to help you build next-generation robotic systems. What You'll Learn: ✅ Advanced ROS2 Development - Optimize ROS2 communication, node lifecycle management, and high-performance middleware for scalable robotics applications. ✅ Autonomous Navigation & Localization - Implement SLAM (Simultaneous Localization and Mapping), Visual Odometry, and AI-powered path planning for real-world autonomy. ✅ Multi-Robot Coordination & Swarm Intelligence - Design collaborative robots, swarm systems, and distributed task allocation using ROS2 DDS. ✅ AI & Deep Learning for Robotics - Integrate machine learning models for object detection, gesture recognition, and adaptive control systems. ✅ Computer Vision & Sensor Fusion - Work with LiDAR, depth cameras, radar, and IMUs to create intelligent perception pipelines for robotic systems. ✅ Real-Time Motion Planning & Kinematics - Optimize trajectory generation, inverse kinematics, and robotic control systems for precision automation. ✅ Human-Robot Interaction (HRI) - Enhance voice-controlled robots, NLP-based assistants, and emotional AI-driven interactions. ✅ Cloud & Edge Robotics - Deploy AI-powered robots on AWS RoboMaker, Google Cloud, and NVIDIA Jetson for scalable real-time operations. ✅ Simulation & Digital Twins - Use Gazebo, RViz, and Docker to simulate robotic applications before real-world deployment. ✅ Cybersecurity & Safety in Robotics - Implement best practices for robot security, ethical AI, and compliance with safety standards. With practical examples, hands-on projects, and expert guidance, Innovative Robotics with ROS2 and Python is your roadmap to building interactive, AI-driven robots that operate autonomously, collaborate efficiently, and interact seamlessly with humans.



Artificial Intelligence For Robotics


Artificial Intelligence For Robotics
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Author : Francis X. Govers III
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-29

Artificial Intelligence For Robotics written by Francis X. Govers III and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Technology & Engineering categories.


Let an AI and robotics expert help you apply AI, systems engineering, and ML concepts to create smart robots capable of interacting with their environment and users, making decisions, and navigating autonomously Key Features Gain a holistic understanding of robot design, systems engineering, and task analysis Implement AI/ML techniques to detect and manipulate objects and navigate robots using landmarks Integrate voice and natural language interactions to create a digital assistant and artificial personality for your robot Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnlock 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.What you will learn Get started with robotics and AI essentials Understand path planning, decision trees, and search algorithms to enhance your robot Explore object recognition using neural networks and supervised learning techniques Employ genetic algorithms to enable your robot arm to manipulate objects Teach your robot to listen using Natural Language Processing through an expert system Program your robot in how to avoid obstacles and retrieve objects with machine learning and computer vision Apply simulation techniques to give your robot an artificial personality Who this book is for This book is for practicing robotics engineers and enthusiasts aiming to advance their skills by applying AI and ML techniques. Students and researchers looking for practical guidance for solving specific problems or approaching a difficult robot design will find this book insightful. Proficiency in Python programming, familiarity with electronics and wiring, single board computers, Linux-based command-line interface (CLI), and knowledge of AI/ML concepts are required to get started with this book.