Learning ROS for Robotics Programming -

Enrique Fernandez, Luis Sanchez Crespo, Anil Mahtani, Aaron Martinez

ISBN 10: 1783987588 / ISBN 13: 9781783987580

Published by Packt Publishing Limited, GB, 2015

About this Item

Your one-stop guide to the Robot Operating SystemAbout This Book. Model your robot on a virtual world and learn how to simulate it. Create, visualize, and process Point Cloud information. Easy-to-follow, practical tutorials to program your own robotsIn DetailIf you have ever tried building a robot, then you know how cumbersome programming everything from scratch can be. This is where ROS comes into the picture. It is a collection of tools, libraries, and conventions that simplifies the robot building process. What's more, ROS encourages collaborative robotics software development, allowing you to connect with experts in various fields to collaborate and build upon each other's work.Packed full of examples, this book will help you understand the ROS framework to help you build your own robot applications in a simulated environment and share your knowledge with the large community supporting ROS.Starting at an introductory level, this book is a comprehensive guide to the fascinating world of robotics, covering sensor integration, modeling, simulation, computer vision, navigation algorithms, and more. You will then go on to explore concepts like topics, messages, and nodes. Next, you will learn how to make your robot see with HD cameras, or navigate 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.What's new in this updated edition? First and foremost, we are going to work with ROS Hydro this time around. You will learn how to create, visualize, and process Point Cloud information from different sensors. This edition will also show you how to control and plan motion of robotic arms with multiple joints using MoveIt! By the end of this book, you will have all the background you need to build your own robot and get started with ROS.What You Will Learn. Install a complete ROS Hydro system. Create ROS packages and metapackages, using and debugging them in real time. Build, handle, and debug ROS nodes. Design your 3D robot model and simulate it in a virtual environment within Gazebo. Give your robots the power of sight using cameras and calibrate and perform computer vision tasks with them. Generate and adapt the navigation stack to work with your robot. Integrate different sensors like Range Laser, Arduino, and Kinect with your robot. Visualize and process Point Cloud information from different sensors. Control and plan motion of robotic arms with multiple joints using MoveIt! Who This Book Is ForIf you are a robotic enthusiast who wants to learn how to build and program your own robots in an easy-to-develop, maintainable, and shareable way, this book is for you. In order to make the most of the book, you should have a C++ programming background, knowledge of GNU/Linux systems, and general skill in computer science. No previous background on ROS is required, as this book takes you from the gro.

Seller Inventory # LU-9781783987580

Bibliographic Details

• Title: Learning ROS for Robotics Programming -
• Publisher: Packt Publishing Limited, GB
• Publication Date: 2015
• Language: English
• ISBN 10: 1783987588
• ISBN 13: 9781783987580
• Binding: Paperback
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

This updated edition will help you to work with ROS Hydro and teach you how to create, visualize, and process point cloud information from different sensors. This is a hands-on guide to the fascinating world of robotics which will help you get to grips with controlling and planning the motion of robotic arms with multiple joints using MoveIt.

About the Author

Enrique Fernandez

Enrique Fernandez has a PhD in computer engineering from the University of Las Palmas de Gran Canaria and is a senior robotics engineer currently working at Clearpath Robotics, Inc. He did his MSc master's thesis in 2009 on SLAM. Enrique addresses the problem of path planning for autonomous underwater gliders (AUGs) in his PhD thesis, which was presented in 2013. During that period, he also worked on Computer Vision, AI, and other robotics topics, such as inertial navigation systems and Visual SLAM at the CIRS/ViCOROB Research Lab of the University of Girona for AUVs. He also participated in the Student Autonomous Underwater Challenge, Europe (SAUC-E) in 2012 and collaborated in the 2013 edition; in the 2012 edition, he was awarded a prize. After his PhD, Enrique joined PAL Robotics in June 2013 as a senior robotics engineer in the Autonomous Navigation department. There, he developed software for REEM, REEM-C, and mobile-based robots and also for corresponding projects, such as Stockbot, using the ROS framework intensively. He worked on motion planning (path planning and control for mobile robots), robot localization, and SLAM. Recently, in 2015, he joined Clearpath Robotics, Inc. to work as a senior autonomy developer on SLAM, within the Autonomy department. From an academic perspective, Enrique has published several conference papers and publications, two of them on the International Conference of Robotics and Automation (ICRA), in 2011. He is also an author of chapters of a few books and a previous book about ROS, Learning ROS for Robotics Programming by Packt Publishing. His MSc master's thesis was about the FastSLAM algorithm for indoor robots using a SICK laser scanner and the wheel odometry of a Pioneer differential platform. His PhD thesis contributed path planning algorithms and tools for AUGs. He also has experience with electronics and embedded systems such as PC104 and Arduino. His background covers SLAM, Computer Vision, path planning, optimization, and robotics and artificial intelligence in general.