ROS Programming: Building Powerful Robots

ROS Programming for Robotics Applications

This learning resource is designed to provide a comprehensive pathway for developing robotic systems using the open-source Robot Operating System (ROS) framework. It begins by introducing the installation process and the core concepts of ROS before progressing to advanced topics essential for designing intelligent robotic applications.

The book covers the integration of sensors and actuators through ROS drivers, as well as navigation, mapping, and localization techniques required for developing autonomous mobile robots. It also explores robotic manipulation, computer vision, three-dimensional perception using the Point Cloud Library (PCL), and other key technologies that enable robots to perceive and interact effectively with their environments.

In addition to the fundamental components of ROS, the book examines advanced robotics concepts and demonstrates how they can be implemented within the ROS ecosystem. Readers gain a thorough understanding of the ROS architecture, including its communication mechanisms, software framework, and development tools, providing a solid foundation for designing scalable robotic systems.

The text further explains how to model complex robotic platforms, perform realistic simulations, and control robot motion using the MoveIt motion-planning framework and the ROS Navigation Stack. These tools enable developers to design, test, and validate robotic behaviors in simulated environments before deployment on physical robots.

To reinforce theoretical concepts with practical experience, the book includes several hands-on projects, such as developing a self-driving vehicle, building an autonomous mobile robot, and implementing image recognition systems based on deep learning integrated with ROS. The material is suitable for learners at beginner, intermediate, and advanced levels, making it a comprehensive reference for robotics education and research.

The learning content is compiled from three well-established Packt publications:

• Effective Robotics Programming with ROS (Third Edition)
• Mastering ROS for Robotics Programming
• ROS Robotics Projects

Key Learning Outcomes

• Understand the fundamental concepts of ROS, including command-line utilities, visualization tools, and debugging techniques.
• Integrate robotic sensors and actuators with the ROS framework.
• Acquire, process, and analyze data from cameras and three-dimensional sensing devices.
• Explore advanced ROS components, including Pluginlib, Nodelets, and Gazebo plugins.
• Interface ROS with external hardware platforms such as Arduino, robot sensors, and industrial-grade actuators.
• Develop gesture-based teleoperation systems for robot control.
• Build ROS-based robotic applications using MATLAB and Android platforms.
• Design and implement interactive robotic applications using the TurtleBot platform.