DocumentCode
1792546
Title
Towards a ROS-based autonomous cloud robotics platform for data center monitoring
Author
Rosa, Stefano ; Russo, Ludovico Orlando ; Bona, Basilio
Author_Institution
Dip. di Autom. e Inf., Politec. di Torino, Turin, Italy
fYear
2014
fDate
16-19 Sept. 2014
Firstpage
1
Lastpage
8
Abstract
Data center monitoring has been a critical subject of research in recent years. In this paper we present a robotic system, based on the Robot Operating System (ROS), in which a mobile robot equipped with a laser range sensor and an Inertial Motion Unit (IMU) is able to autonomously navigate in a data center room for accurate monitoring of critical measurements, such as servers´ external temperature, humidity and other physical quantities. The robot is able to autonomously create a map of a previously unknown room, localize therein and execute a list of measurements at different locations, which are provided by the user via a web Graphical User Interface (GUI). The application is based on a cloud robotics infrastructure which encloses the ROS nodes and exposes REST APIs to the user. We discuss our implementation choices with regards to the particular requirements of the scenario, both in terms of robot navigation and software infrastructure, and present some preliminary results in a real scenario.
Keywords
application program interfaces; cloud computing; computer centres; graphical user interfaces; laser ranging; mobile robots; optical sensors; path planning; GUI; IMU; REST API; ROS nodes; ROS-based autonomous cloud robotics platform; Web graphical user interface; data center monitoring; data center room; inertial motion unit; laser range sensor; mobile robot; robot navigation; robot operating system; server external temperature; software infrastructure; Graphical user interfaces; Monitoring; Robot sensing systems; Temperature measurement; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location
Barcelona
Type
conf
DOI
10.1109/ETFA.2014.7005212
Filename
7005212
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