Robot Operating System (ROS)

The Complete Reference (Volume 3)
1. Auflage 2019
ISBN: 978-3-319-91589-0
Verlag: Springer

Buch, Englisch, Band 778, 605 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1081 g

Reihe: Studies in Computational Intelligence

Third volume of carefully edited chapters devoted to the Robot Operating System (ROS) with working examples, demonstrations and illustrationsComprehensive coverage of the Robot Operating Systems (ROS), which is currently considered as the main development framework for robotics applications Includes supplementary material representing all the code provided by the authors, which is available as open source in a Code repositoryCovers areas related to robot development using ROS including robot navigation, UAVs, arm manipulation, multi-robot communication protocols, Web and mobile interfaces, integration of new robotic platform, computer vision applications, development of service robots, development of new libraries and packages, education

Zielgruppe

Research

Autoren/Hrsg.

Koubaa, Anis

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Mathematik | Informatik EDV | Informatik Betriebssysteme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

A ROS-based framework for simulation and benchmarking of multi-robot patrolling algorithms.- ROS: Developing a new generation of operator interfaces.- Autonomous Exploration and Inspection Path Planning for Aerial Robots using the Robot Operating System.- A generic ROS-based System for Rapid Development and Testing of Algorithms for Autonomous Ground and Aerial Vehicles.- A generic ROS-based System for Rapid Development and Testing of Algorithms for Autonomous Ground and Aerial Vehicles.- ROS-based Approach for Unmanned Vehicles in Civil Applications.- A quadcopter and mobile robot cooperative task using Augmented Reality Tags.- An Extensible Optimization Toolset for Motion Planning and Control Prototyping and Benchmarking.- Online Trajectory Optimization and Navigation for Dynamic Environments in ROS.- A Backstepping Non-smooth Controller for ROS-based Differential-Drive Mobile Robots.- University Rover Challenge: Tutorials and Control System Survey.- SROS: Using and Developing Secure ROS Systems.- GPU and ROS - The use of general parallel processing architecture for robot perception.- Connecting ROS and FIWARE: concepts and tutorial.

Über Autor(innen)

Dr. Anis Koubaa, Prince Sultan University, College of Computer Science and Informat, 13381 Riyadh, Saudi Arabia.