ROS 2 INTELLIGENT ROBOT PROJECTS: Build Autonomous Mobile Robots, AI Vision Systems, and Robotic Arms with Python, OpenCV, Gazebo, Nav2, MoveIt 2, and Deep Learning

Build autonomous robots that can navigate, see, plan, and manipulate with ROS 2.

ROS 2 Intelligent Robot Projects is a practical, project-driven guide to building intelligent robotic systems with Python, Gazebo, Nav2, OpenCV, MoveIt 2, ros2_control, SLAM, and deep learning.

Instead of learning ROS 2 through disconnected examples, you will build one connected robotics stack that progresses from core communication and simulation to autonomous navigation, AI vision, robotic manipulation, and real-hardware deployment.

Inside the book, you will learn how to:

• Build ROS 2 nodes, topics, services, actions, launch files, and parameters
• Model and simulate a mobile robot with URDF, Xacro, Gazebo, and RViz
• Control robot motion with ros2_control
• Build maps and localize with SLAM
• Configure autonomous navigation with Nav2
• Process camera data and track objects with OpenCV
• Run deep-learning object detection for robot perception
• Build and control robotic arms with MoveIt 2
• Create collision-aware pick-and-place workflows
• Integrate navigation, vision, and manipulation into an intelligent warehouse robot
• Troubleshoot TF, sensors, controllers, AI pipelines, and hardware
• Move safely from simulation to real ROS 2 hardware

The book uses ROS 2 Jazzy Jalisco on Ubuntu 24.04 LTS as its primary reference environment and supports a simulation-first workflow, so you can complete the major projects without owning a physical robot.

Whether you are a student, Python developer, robotics hobbyist, AI engineer, researcher, or ROS 1 user moving to ROS 2, this book gives you a structured path from your first ROS 2 system to a complete intelligent robot.

Go beyond ROS 2 tutorials and start building robots that can map, navigate, see, decide, grasp, and operate as complete autonomous systems.