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Innovative Robotics with ROS2 and Python: Advanced Concepts for Building Intelligent, Interactive, and Multi-Robot Systems
| AUTHOR | Farmer, Miguel; Sanders, Rafael; Carter, Thompson |
| PUBLISHER | Independently Published (02/13/2025) |
| PRODUCT TYPE | Paperback (Paperback) |
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.
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.