Robot Operating System (ROS) : The Complete Reference (Volume 5)

Anis Koubaa

ISBN 10: 3030459586 / ISBN 13: 9783030459581

Published by Springer International Publishing, 2021

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book is the fifth volume in the successful book series Robot Operating System: The Complete Reference. The objective of the book is to provide the reader with comprehensive coverage on the Robot Operating System (ROS), which is currently considered to be the primary development framework for robotics applications, and the latest trends and contributing systems. The content is divided into six parts. Pat I presents for the first time the emerging ROS 2.0 framework, while Part II focuses on multi-robot systems, namely on SLAM and Swarm coordination. Part III provides two chapters on autonomous systems, namely self-driving cars and unmanned aerial systems. In turn, Part IV addresses the contributions of simulation frameworks for ROS. In Part V, two chapters explore robotic manipulators and legged robots. Finally, Part VI presents emerging topics in monocular SLAM and a chapter on fault tolerance systems for ROS. Given its scope, the book will offer a valuable companion for ROS users and developers, helping them deepen their knowledge of ROS capabilities and features.

Seller Inventory # 9783030459581

Bibliographic Details

• Title: Robot Operating System (ROS) : The Complete Reference (Volume 5)
• Publisher: Springer International Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 3030459586
• ISBN 13: 9783030459581
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 23D millimeters 235 millimeters width by 155 millimeters height by 23 millimeters depth
• Weight: 616 grams

About this title

Synopsis

This book is the fifth volume in the successful book series Robot Operating System: The Complete Reference.

The objective of the book is to provide the reader with comprehensive coverage on the Robot Operating System (ROS), which is currently considered to be the primary development framework for robotics applications, and the latest trends and contributing systems.

The content is divided into six parts. Pat I presents for the first time the emerging ROS 2.0 framework, while Part II focuses on multi-robot systems, namely on SLAM and Swarm coordination. Part III provides two chapters on autonomous systems, namely self-driving cars and unmanned aerial systems. In turn, Part IV addresses the contributions of simulation frameworks for ROS. In Part V, two chapters explore robotic manipulators and legged robots. Finally, Part VI presents emerging topics in monocular SLAM and a chapter on fault tolerance systems for ROS. Given its scope, the book will offer a valuable companion for ROS users and developers, helping them deepen their knowledge of ROS capabilities and features. 

About the Author

Anis Koubaa is a Professor of Computer Science, Aide to the Rector of Research Governance, Director of the Research and Initiatives Center, and Leader of the Robotics and Internet of Things Research Lab, at Prince Sultan University. He is also an R&D Consultant at Gaitech Robotics in China and Senior Researcher in CISTER/INESC TEC and ISEP-IPP, Porto, Portugal. He has been the Chair of the ACM Chapter in Saudi Arabia since 2014. He is also a Senior Fellow of the Higher Education Academy (HEA) in the UK.

His current research deals with providing solutions for the integration of robots and drones into the Internet of Things (IoT) and clouds for deep learning applications. He has developed several real-world applications and prototypes such as Dronemap Planner, a cloud-based management system for drones and robots, and ROSLink, which is a messaging protocol for integrating the Robot Operating System with the IoT. His research interests also include the Robot Operating System (ROS), robotic software engineering, wireless communication for the IoT, real-time communication, safety and security for cloud robotics, intelligent algorithm design for mobile robots, and multi-robot task allocation.