Robot Operating System (ROS) The Complete Reference (Volume 1) / [electronic resource] :
edited by Anis Koubaa.
- 1st ed. 2016.
- XIII, 728 p. 352 illus., 86 illus. in color. online resource.
- Studies in Computational Intelligence, 625 1860-9503 ; .
- Studies in Computational Intelligence, 625 .
The objective of this book is to provide the reader with a comprehensive coverage on the Robot Operating Systems (ROS) and latest related systems, which is currently considered as the main development framework for robotics applications. The book includes twenty-seven chapters organized into eight parts. Part 1 presents the basics and foundations of ROS. In Part 2, four chapters deal with navigation, motion and planning. Part 3 provides four examples of service and experimental robots. Part 4 deals with real-world deployment of applications. Part 5 presents signal-processing tools for perception and sensing. Part 6 provides software engineering methodologies to design complex software with ROS. Simulations frameworks are presented in Part 7. Finally, Part 8 presents advanced tools and frameworks for ROS including multi-master extension, network introspection, controllers and cognitive systems. This book will be a valuable companion for ROS users and developers to learn more ROS capabilities and features. .
9783319260549
10.1007/978-3-319-26054-9 doi
Control engineering.
Robotics.
Automation.
Computational intelligence.
Artificial intelligence.
Control, Robotics, Automation.
Computational Intelligence.
Artificial Intelligence.
TJ212-225 TJ210.2-211.495
629.8
The objective of this book is to provide the reader with a comprehensive coverage on the Robot Operating Systems (ROS) and latest related systems, which is currently considered as the main development framework for robotics applications. The book includes twenty-seven chapters organized into eight parts. Part 1 presents the basics and foundations of ROS. In Part 2, four chapters deal with navigation, motion and planning. Part 3 provides four examples of service and experimental robots. Part 4 deals with real-world deployment of applications. Part 5 presents signal-processing tools for perception and sensing. Part 6 provides software engineering methodologies to design complex software with ROS. Simulations frameworks are presented in Part 7. Finally, Part 8 presents advanced tools and frameworks for ROS including multi-master extension, network introspection, controllers and cognitive systems. This book will be a valuable companion for ROS users and developers to learn more ROS capabilities and features. .
9783319260549
10.1007/978-3-319-26054-9 doi
Control engineering.
Robotics.
Automation.
Computational intelligence.
Artificial intelligence.
Control, Robotics, Automation.
Computational Intelligence.
Artificial Intelligence.
TJ212-225 TJ210.2-211.495
629.8