Robot Operating System (ROS)

The Complete Reference (Volume 7)
1. Auflage 2023
ISBN: 978-3-031-09061-5
Verlag: Springer International Publishing

Buch, Englisch, 240 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 586 g

Reihe: Studies in Computational Intelligence

This book is the seventh volume of the successful book series on Robot Operating System: The Complete Reference, which started in 2016. 
The book's objective is to provide the reader with comprehensive coverage on the Robot Operating Systems (ROS) and the latest trends and contributed systems. ROS has been considered as the primary development framework for robotics applications.
There are seven chapters organized into three parts. Part I presents one chapter dealing with ROS2 and presents a tutorial on using the MediaPipe framework with ROS2. In Part II, three chapters present new contributions of ROS frameworks and applications, including micro-ROS, Autonomous 3D Thermal Mapping of Disaster Environments, and Lab-scale Smart Factory Implementation Using ROS. Part III provides contributions on how to use ROS for cooperative robotics behaviors, particularly in platoon applications, in addition to developing new perception and control algorithms with sensing technologies.  
This book will be a valuable companion for ROS users and developers to learn more about ROS capabilities and features.

Zielgruppe

Research

Autoren/Hrsg.

Koubaa, Anis

Fachgebiete

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

Inhaltsverzeichnis

micro-ROS- Lab-scale Smart Factory Implementation Using ROS.- High Fidelity IMU and Wheel Encoder Models for ROS based AGV Simulations.- Autonomous Laser-Induced Breakdown Spectroscopy System for Chemical and Mineralogical Designation of Interplanetary.

Über Autor(innen)

Anis Koubaa is the Executive Director of the Innovation Center, the Research and Initiatives Center Director, and the leader and founder of the Robotics and Internet-of-Things Lab at Prince Sultan University. He is a Full Professor in Computer Science and has been working on several R&D projects on data science and unmanned systems, deep learning, robotics, and Internet-of-Things. He is a Senior Fellow of the Higher Education Academy of the UK.

Anis Koubaa received several awards, including (1) The AI Leadership Award and the Best AI Product Award in the AI and Cloud Expo May 2022, (2) Winner KAUST Challenge Award in Hajj and Umrah in 2021 (among 1300 teams) in Transport and Mobility Category and awarded by his Excellency Prince Khaled Alfaisal, the Governor of Makkah, (3) the Rector Best Teacher Award in 2016 at Prince Sultan University and (4) the Best Research Award in 2012 at Al-Imam University. He is also nominated in the carrier-based top 2% scientists list by Stanford University.

The current research interests of Anis Koubaa deal with developing automated solutions for logistics using drones and robots for delivery systems.