Why make life difficult for yourself in robotics programming? ROS is a software framework that already supports many functionalities, and this book will tell you everything you need to know to realize its full potential.
- Model your robot on a virtual world and learn how to simulate it
- Carry out state-of-the-art Computer Vision tasks
- Easy to follow, practical tutorials to program your own robots
Both the amateur and the professional roboticist who has ever tried their hand at robotics programming will have faced with the cumbersome task of starting from scratch, usually reinventing the wheel. ROS comes with a great number of already working functionalities, and this book takes you from the first steps to the most elaborate designs possible within this software framework.
“Learning ROS for Robotics Programming” is full of practical examples that will help you to understand the framework from the very beginning. Build your own robot applications in a simulated environment and share your knowledge with the large community supporting ROS.
“Learning ROS for Robotics Programming” starts with the basic concepts and usage of ROS in a very straightforward and practical manner. It is a painless introduction to the fascinating world of robotics, covering sensor integration, modeling, simulation, computer vision, and navigation algorithms, among other topics.
After the first two chapters, concepts like topics, messages, and nodes will become daily bread. Make your robot see with HD cameras, or navigate avoiding obstacles with range sensors. Furthermore, thanks to the contributions of the vast ROS community, your robot will be able to navigate autonomously, and even recognize and interact with you, in a matter of minutes.
“Learning ROS for Robotics Programming” will give you all the background you need to know in order to start in the fascinating world of robotics and program your own robot. Simply, you put the limit!
What you will learn from this book
- Install a complete ROS Fuerte system
- Create ROS packages and stacks, using and debugging them in real time
- Create, handle, and debug ROS nodes
- Design your 3D robot model and simulate it in a virtual environment within Gazebo
- Use cameras to give vision to your robots, and calibrate and perform Computer Vision tasks with them
- Use and integrate different sensors like Range Laser, Arduino, and Kinect with your robot
- Create and adapt the navigation stack to work with your robot
- Share your knowledge with the ROS community
About The Authors
Aaron Martinez is a computer engineer, entrepreneur, and expert in digital fabrication. He did his Master’s thesis in 2010 at the IUCTC in the University of Las Palmas de Gran Canaria. He prepared his Master’s thesis in the field of telepresence using immersive devices and robotic platforms. After completing his academic career, he attended an internship program at The Institute for Robotics in the Johannes Kepler University in Linz, Austria.
Enrique Fernández is a computer engineer and roboticist. He did his Master’s Thesis in 2009 at the University Institute of Intelligent Systems and Computational Engineering in the University of Las Palmas de Gran Canaria. There he has been working on his Ph.D for the last four years; he is expected to become a Doctor in Computer Science by September 2013. His Ph.D addresses the problem of Path Planning for Autonomous Underwater Gliders, but he has also worked on other robotic projects. He participated in the Student Autonomous Underwater Challenge-Europe (SAUC-E) in 2012, and collaborated for the 2013 edition. In 2012, he was awarded a prize for the development of an underwater pan-tilt vision system.